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Record W1995855078 · doi:10.1525/jsae.2001.1.2.10

The Stories People Tell: Gendered Stories of Social Class in the Bigouden Region, France

2001· article· en· W1995855078 on OpenAlexaff
Charles R. Menzies

Bibliographic record

VenueJournal of the Society for the Anthropology of Europe · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsUniversity of British Columbia
FundersEuropean Commission
KeywordsFishingEthnographyArgument (complex analysis)Gender studiesFishing villageSociologyCognitive dissonanceSocial classSocial psychologyPsychologyPolitical scienceAnthropologyLaw

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0160.013
Scholarly communication0.0070.005
Open science0.0010.005
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.051
GPT teacher head0.321
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2001
Admission routes1
Has abstractyes

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Same venueJournal of the Society for the Anthropology of EuropeSame topicFrench Urban and Social StudiesFrench-language works237,207