The Stories People Tell: Gendered Stories of Social Class in the Bigouden Region, France
Bibliographic record
Abstract
This paper explores the social dissonance between the stories told by women from fishing families and those told about them in the Bigouden region of Brittany, France. In this paper I draw upon stories told by and about women collected in the course of ethnographic research in the fishing communities of this region since 1992. Women from local fishing households tell stories that emphasize the importance of women in the local economy and that highlight their strength of character and abilities. These stories document the daily activities of women in the maintenance of family fishing enterprises and in the running of their households. However, these stories are not the only tales told about Bigouden women from fishing households. A counterpoising thread of stories are also told by non‐fishing folk. Whereas the stories told byfisherfolk are complementary, those told by non‐fisherfolk are not. Ultimately the argument is advanced that the stories told by non‐fisherfolk are part of an attempt to maintain local class distinctions between the fisherfolk and the local professional and propertied classes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.016 | 0.013 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".