Legal institutions, nonspeaking recipiency and participants' orientations
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this article, I explore the question of what constitutes a participant's orientation to gender within conversation analysis (CA), suggesting that CA's notion of participant orientation may be too narrow and restrictive to adequately capture the significance of gender as an organizing principle of institutions. The data that I analyze are drawn from legal settings, specifically a Canadian criminal trial dealing with sexual assault. Significant to an investigation of talk-in-interaction in such contexts is the fact that participants' orientations to the talk are not only discernible in the talk's local sequential properties but also in the (nonlocal) assessments and judgments of the nonspeaking recipients, the jury or judge. Indeed, a turn-by-turn analysis of these proceedings shows that conversational participants were not explicitly orienting to gender, but rather were orienting to the type of trial they were involved in (i.e., a sexual assault trial) and to the positioning of the accused as a possible agent of sexual acts of aggression. Nonetheless, orientations to or understandings of gender were made explicit in the judge's decision and thus seemed extremely significant to the outcome of the court's proceedings.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it