Bibliographic record
Abstract
What are the linguistic dimensions of pain, and what kind of articulations arise from these painful experiences? How does the language of pain circulate, connect, and reach across histories, gendered realities, and social politics? In what ways might the language of pain act on and transform the world by shaping and changing socio-political agendas? I explored these questions among women in Kosovo and discovered a unique symptomatic language which I call SymptomSpeak. SymptomSpeak is a powerful language evoked, shared, and exchanged by women to articulate political, social, and economic grievances, to challenge societal norms, and to demand justice. The language itself consists of a detailed symptom vocabulary which is variously assembled into meaning complexes. Such assemblages shift depending on the social context in which they are conveyed and are referred to as nervoz (nervousness), mërzitna (worried, sad), mzysh (evil eye), and t'bone (spell). I describe in detail how women variously combine and exchange components of SymptomSpeak and, thereby, question dominant framings of reality. Thereby, my intention is to contribute to a new understanding of pain as language which straddles the fine line between socio-political commentary and illness; produces gendered political realities; and challenges the status quo through its communicative power.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".