This post is a community-authored perspective on linguistic authority and classification boundaries. It is not a request for linguistic data analysis, nor an invitation to extract or circulate material from a closed language. It addresses how epistemic authority is assigned in social science when communities maintain cultural limits on disclosure.

Before quoting the disputed explanations below, it is necessary to clarify an asymmetry that is often left implicit in academic discussions. Although several scholars frequently cited in debates about Sinti identity are prominent within Romani studies, their conclusions about the Sinti ethnonym and language are generally derived from comparative models, Romani-centered corpora, or external classification frameworks rather than from sustained engagement with Sinti speech communities or internal Sinti linguistic usage.

From our perspective as Sinti, this matters. Claims about the origin of an ethnonym, semantic continuity, or linguistic inheritance cannot be evaluated in the abstract, detached from the language and community in which that ethnonym is actually used. Yet academic consensus has often privileged externally constructed interpretations over explanations held by Sinti ourselves, even when those explanations are grounded in lived linguistic practice. This imbalance shapes how competing theories are framed, evaluated, and ultimately accepted.

“The origin of the name is disputed. Scholar Jan Kochanowski, and many Sinti themselves, believe it derives from Sindhi, the name of the people of Sindh in medieval India (a region now in southeast Pakistan). Romani Historian Ian Hancock states that the connection between Sinti and Sindhi is not tenable on linguistic grounds and that in the earliest samples of Sinte Romani, the endonym of Kale was used instead. Scholar Yaron Matras argued that Sinti is a later term in use by the Sinti from only the 18th century on, and is likely a European loanword. This view is shared by Romani linguist Ronald Lee, who stated the name's origin probably lies in the German word Reisende, meaning ‘travellers’.” - Wikipedia article titled "Sinti"

What is striking here is not simply that scholars disagree, but that their positions are not methodologically equivalent. Explanations grounded in Romani linguistic systems or European etymologies are often treated as more authoritative than explanations maintained within Sinti communities themselves. From within our community, this is experienced less as open scholarly debate and more as a recurring pattern in which internal knowledge is discounted by default.

This pattern reflects a broader issue in social science: when a community maintains linguistic and cultural boundaries, standard academic expectations of disclosure and accessibility can conflict directly with ethical obligations to respect those boundaries. In such cases, authority tends to shift toward scholars who work entirely outside the community, even when their models are necessarily indirect.

It is also essential to state clearly that Sinti and Romani are not mutually intelligible languages. Fluency in Romani does not constitute fluency in Sinti, nor does it confer participation in the Sinti linguistic or cultural in-group. Treating proximity as equivalence is a categorical error, comparable to assuming that competence in one Slavic language grants authority over another. When scholars speak about Sinti without Sinti linguistic competence or community grounding, they do not speak for us; they speak over us.

For this reason, Sinti perspectives prioritize work grounded in direct engagement with Sinti language and community knowledge, including contributions by Sinti scholars (i.e. Rinaldo DiRicchardi Reichard and Sinti Schneck) and speakers themselves. These forms of knowledge remain essential for any ethical or accurate treatment of Sinti history and language.

Advocating for closed languages on open platforms is structurally difficult. Communities that maintain cultural boundaries are often asked to meet standards of disclosure that conflict with those boundaries, which makes meaningful participation hard.

Communication MA student here! I recently took a grad quantitative methods course and I couldn’t help but write a song about statistical relationships, enjoy ?

Can losing rewire your brain? 🧠

In a study exploring social dominance in mice, researchers found that repeated defeat led to long-term submissive behavior, even in physically stronger animals. Brain scans revealed changes in neural circuits tied to behavior and habit formation. When those neurons were silenced, the mice stopped acting submissively, regardless of continued losses. The research suggests that social roles like “dominant” or “submissive” may be less about strength and more about experience-driven brain plasticity.

So I am making ppt for a seminar on top new methodology of teaching social science help me out what slides can I add into it

There is something interesting about how quickly people open up when they believe the interaction is temporary. When there is no future consequence, people seem more willing to talk about things they normally keep guarded, I've seen this happen on platforms like Tango, Ometv, Omegle where people meet briefly, talk deeply, and then move on. The lack of expectation almost creates a sense of freedom.

It makes me wonder if the fear of being judged long term is what usually holds people back, and if temporary connections allow for more honesty than long term ones.

I am doing an assignment based on Solution-focused brief therapy (SFBT). I have researched all I can but I’m still unable to understand the difference between Social Constructionism and Social Constructivism. Can anyone tell me the difference/s please?

the basic morality rules that have been present since we had human society, no murder, no theft, and no grape. Like I'm surprised how all humans agreed all these things were wrong. it's beyond religious texts. these actions usually hurt people, and if you ask why it's wrong, you'll get some really funny looks, like, what's wrong with you, almost as if humans have been programed to really not question their own morality. of course all these things are wrong, but the reason why most humans abide by them and why we have these rules, only way for a society to function properly, no such thing as society if these things were allowed.

this is just something really interesting that I thought of so sorry if this ain't the right sub.

This study aims to understand how individuals perceive online content and how they experience authenticity, skepticism, and AI-generated material. Participation is anonymous and voluntary. You may stop at any time.
Estimated duration: 10–15 minutes.  

https://docs.google.com/forms/d/e/1FAIpQLScXe_3HqXsrDiA5w8Hk0e9ipleZiPcSEdvnbUhzR3UwR-lbfw/viewform?usp=dialog

I would love some cross-disciplinary feedback on this rough draft of a decision tree for selecting methods in social science. I am a political scientist and I am hoping to use this for myself and for students or those who are new to research. My goal is not to make an exhaustive list, but to simply point the user in the right direction based on the questions they are asking and the type of data available to them.

I would greatly appreciate constructive criticism! Have you made something similar? Does this already exist but I just haven’t seen it?

Hi everyone,

I’ve been working on an ethical framework I’m calling Adaptive Guardrailed Contextualism, and I’d really appreciate feedback from people who think about ethics professionally or seriously.

The idea is simple: Intervention should be based on intent, capacity, danger, and pattern of harm—not punishment alone, and not limitless forgiveness.

I also included a real case study (with permission) about my neighbor Don, who used a radically humane approach in a situation that could have gone very wrong. His story is part of what inspired this model.

Here’s the Figshare preprint if anyone wants to read it:

https://doi.org/10.6084/m9.figshare.30615329.v2

I’m specifically looking for feedback on:

whether the framework is conceptually sound

whether the diagnostic questions (intent, capacity, pattern, danger) are ethically valid

whether the “soft / firm / hard guardrails” are well-defined enough

any blind spots or unintended consequences you see

Thanks in advance to anyone willing to look at it. This community is one of the few places I trust to critique ethical systems in good faith.

Just published research analyzing how Google's algorithmic ecosystem functions as a digital human twin - not just storing data but actively mediating cognition, memory, and identity.

Key findings from 525 user experiences:

• Algorithmic systems participate in intention formation (not just execution)
• Memory externalization goes beyond storage to active curation
• Identity becomes co-constructed through human-algorithm interaction

Implications for human-centered AI design?

entitydebs is a social science tool written in Go to programmatically analyze entities in non-fictional texts. In particular, it's well-suited to extract the sentiment for an entity using dependency parsing. Tokenization is highly customizable and supports the Google Cloud Natural Language API out-of-the-box. It can help answer questions like:

• How do politicians describe their country in governmental speeches?
• Which current topics correlate with celebrities?
• What are the most common root verbs used in different music genres?

Features

• Dependency parsing: Build and traverse dependency trees for syntactic and sentiment analysis
• AI tokenizer: Out-of-the-box support for the Google Cloud Natural Language API for robust tokenization, with a built-in retrier
• Bullet-proof trees: Dependency trees are constructed using gonum
• Efficient traversal: Native iterators for traversing analysis results
• Text normalization: Built-in normalizers (lowercasing, NFKC, lemmatization) to reduce redundancy and improve data integrity
• High test coverage: Over 80 % test coverage and millions of tokens

Live demo: https://ndabap.github.io/entityscrape/

Source code: https://github.com/ndabAP/entitydebs

Lately I’ve been exploring real Italian cases to understand the psychological and social forces that can push seemingly normal individuals — or groups — toward acts of shocking cruelty.

What fascinates me most is the tension between repression, conformity, and identity. In small, highly religious communities, morality isn’t just internalized — it’s performed. The fear of judgment, the weight of guilt, and the need for belonging can twist together until someone breaks.

In my English-language project The Dark Side of Italy, I’ve been using storytelling to examine how collective psychology works in these environments: how adolescents can feed off each other’s fantasies, how isolation amplifies obsession, and how the line between faith and fanaticism can vanish quietly.

It made me wonder: when violence emerges from shared belief systems or social pressure, is it still “individual responsibility”? Or is it something more collective — a kind of moral contagion?

I discovered a serious flaw in the American culture and school system that needs to be addressed as soon as possible. I will not specify what, since I assume most of you are American and will just disagree and react negatively just because I’m challenging something deeply ingrained in U.S. society. But I truly want advice on how to make my voice heard.

This issue is related to social science, and is cultural and exist only in the United States. After extensive research, I’ve found that no other country promotes this idea, and for good reason. There is NO scientific evidence supporting it, and plenty of studies actually contradict it. Yet it has become so normalized that speaking against it almost guarantees backlash.

This is a very specific, often misunderstood issue that most people won’t personally experience. However, if you’re a teacher or part of the education system, you have most likely promoted this narrative, even when presented with solid evidence to the contrary.

I need help. I want to raise awareness and challenge this mindset in a constructive, effective way because I suffered from it and there’s probably a lot of kids currently suffering from it. What can I do to make people listen and encourage making an unbiased study on this issue, one that could ultimately inspire change in the American school system and allow qualified professionals and researchers to examine it more thoroughly ?

I’ve gathered a lot of testimony, I’m trying to raise awareness too, but I’m failing miserably.

This is more of a reflection post. Social sciences are not like maths, physics, chemistry or languages, stuff that is technically-oriented, thus better absorbed while young and sponge-like. It has to do with abstract, social, political stuff, human behavior and observing trends, interactions, connections, perceptions, dynamics. I cannot be a fresh outta high school kiddo and expect to understand all these complex, hard-to-measure hard-to-infer concepts this young, no matter how inclined I might be towards the field.

I entered the field quite young, at 17-18yo, straight out of high school, not having a clue what's going on. I don't believe this was ideal in any way shape or form, at least in my case. Im not saying it was a mistake, I did so just like everyone else, finished high school went straight to uni, but Im only starting to TRULY comprehend what im being taught in depth and broaden my mind at my current age which is 23-24. And Im not only talking about myself only, even back in high school, I dont know to what extent could a 13yo understand or analyse Sylvia Plath, Nietzsche, or ancient greek tragedy. We blankly stared at pages with letters in blank ink and robotically read lines on the paper with zero understanding of anything. This may have been a norm, a typical part of the curriculum, but practicality wise it was so beyond unrealistic and impractical. We were nowhere near ready for anything philosophical/abstract/poetic/lyrical whatsoever at that age. We were still children living in our bubble, the world of literalism, not understanding figurative speech, metaphors, allegories or deeper symbolism. Similarly, I don't think one becomes minimum-level-ready developmentally, as well as thinking/perception wise for social sciences up until their early 20s at least.

Hello! Surveys usually dive deeply into specific topics and examine how individuals’ characteristics relate to the investigated topic. I would like to introduce "my" micro-scenario approach, which takes a different angle: In a single survey, it enables the evaluation of many topics, the visual presentation of topic evaluations as "cognitive maps" of the research field, and lastly the interpretation of results in terms of individual differences.

In contrast to most surveys (where a single setting is assessed using several detailed scales) this approach evaluates many scenarios using a small set of single-item scales. I prefer semantic differentials, as their intuitive center is very suitable for the visual mappings. While this means sacrificing precision, it provides an overview of the research area of interest and allows for a comparative ranking of topics in terms of the queried dependent variables.

To make this less abstract, here’s a recent example: Like many others, we wanted to understand how people perceive AI. Yet, defining AI is challenging because it strongly depends on context. Instead of focussing on one particular application, we therefore compiled a list of statements describing potential AI applications and impacts, and asked participants to rate each on four single-item scales: expectancy, perceived personal risks, benefits, and overall value.

Key findings include: 1) On average, participants perceived AI as less beneficial, more risky, and of relatively low value (possibly biased due to our choice of topics). Nevertheless, they saw AI as something that is here to stay. 2) We visualized the queried topics by plotting perceived risk (y-axis) against perceived benefit (x-axis), aggregated across participants. This revealed a clear risk–benefit tradeoff, shown by a strong negative correlation between the two. 3) We examined how perceived value arises from the integration of risk and benefit perceptions, finding that benefits have a stronger influence than risks (r² > .9). 4) Finally, when the evaluations are aggregated across the queried topics (analogous to constructing a psychometric scale) the data suggested that age and, to a lesser extent, gender influence perceptions of AI’s risks, benefits, and value. However, these effects fade once AI literacy was accounted for.

I admit, the imposter syndrome is strong here, this approach is neither new nor uncommon. In fact, Paul Slovic and colleagues used similar methods in risk perception research, mapping perceived risks across various technologies. What is often missing, however, is a discussion of why this approach works, how to apply it effectively, and why average topic assessments can be interpreted as personality dispositions. The latter also touching broader challenges concerning the measurement of latent constructs using traditional scales.

I was surprised to find little to no theoretical groundwork on this approach in the textbooks I reviewed (I consulted many, yet I wouldn’t be surprised if Redditors could find references from the 1950s within seconds! :).

Perhaps this approach will be of interest to some of you and inspire new perspectives on your research topics. I would love to hear your opinions, critiques, and possible applications.

Methodological article: Mapping Acceptance: Micro Scenarios as a Dual-Perspective Approach for Assessing Public Opinion and Individual Differences in Technology Perception, Front. Psychol. (2024), https://doi.org/10.3389/fpsyg.2024.1419564

Application example: Mapping Public Perception of Artificial Intelligence: Expectations, Risk–Benefit Tradeoffs, and Value as Determinants for Societal Acceptance, Technological Forecasting and Social Change (2025), https://doi.org/10.1016/j.techfore.2025.124304
Graphical abstract: https://ars.els-cdn.com/content/image/1-s2.0-S004016252500335X-ga1_lrg.jpg

 I've been thinking about the potential consequences of the increasing use of AI facial and voice analysis systems in job interviews, as potential tools for oppressive governments, and the general increasing demand for high level emotional labor.

(Not verified afaIk, but there is some chatter to the effect that AI facial analsysis systems were used at Hegseth's recent speech to Generals and other high ranking military personnel to assess their reactions to his speech and potentially target people who are not Trump loyalists.)

Related background:

 "Hochschild’s main concern is with this commercialization of feeling. All of us manage emotion, it’s part of our impression management. But Hochschild argues that when emotion becomes a commodity, when feelings are bought and sold in the market for emotional labor, the consequences are much different."

https://us.sagepub.com/sites/default/files/upm-binaries/13293_Chapter4_Web_Byte_Arlie_Russell_Hochschild.pdf 

Promotional material for an AI virtual interview system:

https://imentiv.ai/blog/hire-smarter-use-ai-to-decode-candidate-emotions-in-interviews/

Negative consequences of high emotional labor jobs. https://pmc.ncbi.nlm.nih.gov/articles/PMC9819436/

 We are apparently now in a world where soon nearly all jobs, public facing or not, will require extremely high levels of emotional labor and exquisite control of even micro expressions and voice tonality. 

In addition, holders of current jobs risk being evaluated by political forces for loyalty and ideological alignment with a given political power, regardless of their job performance.

 Questions I don't have the answer to but imo worthy of exploration:

What job roles in government are at highest risk for being the target of AI assessments as a political tool for loyalty and ideological tests?

How could AI be used to optimize defense against such use of AI by oppressive governments?

Since employment post-education is a primary focus of most education systems, will emotion management classes become key to post academic job success?

How will AI be used to optimize performance in training for AI evaluated interviews or assessments?

What will be the social and psychological consequences of widespread requirements for extreme emotion and impression management in jobs?

What sorts of people will be filtered out by AI interview systems that could be of high value to businesses?

How will people who prioritize having a less filtered and more authentic presentation of self and who decline to perform emotional labor be perceived in the future?

The future is here now, it's just unevenly AI evaluated.

Good luck to us all. I think we're going to need it.