Conversational Moves in Talking about Body-image in all Female Interactions MOUVEMENT CONVERSATIONNEL DANS LA DISCUSSION SUR L'IMAGE DU CORPS DANS TOUTES LES INTERACTIONS FÉMININES 女性會話中談論身體形象的話步研究
Bibliographic record
Abstract
This paper examines the extracts taken from daily conversations as well as from a serial TV play respectively involving female postgraduate students and professional women. The aim of this research is to see whether Guendouzi's (2004) conversational moves in talking about body-size can be generalized. The extracts are analyzed based on Guendouzi's model and Brown and Levinson's (1987) face threat theory. It is found that Guendouzi's model is only applicable in the circumstance when the speaker exposes herself to face threat. A new model, which fits the situation when the speaker exposes the hearer to face threat, has been tentatively noted based on the analysis of data.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".