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Record W2101347215 · doi:10.1525/aa.2002.104.1.22

"Strong Women" and "Pretty Girls": Self‐Provisioning, Gender, and Class Identity in Rural Galicia (Spain)

2002· article· en· W2101347215 on OpenAlexaff
Sharon R. Roseman

Bibliographic record

VenueAmerican Anthropologist · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsPeasantGender studiesSubsistence agricultureConsumption (sociology)Identity (music)ProvisioningSociologyLivelihoodResistance (ecology)EthnographyGeographyAgricultureSocial scienceAnthropology

Abstract

fetched live from OpenAlex

In this article I examine expressions of class and gender identity in a worker‐peasant community in rural Galicia (Spain). While men who have worked for decades in migrant destinations define their own class positionality partly through reference to the unpaid, subsistence work that is performed mainly by women who remain in the community, these same women adeptly "code switch" between "strong woman" and '"pretty girl" demeanors through their work activities, dress, and use of domestic spaces. Using the example of ethnographic data from this one part of rural Europe, 1 argue for the broader importance of anthropologists considering how laboring bodies become gendered; the intersections between gender and class identities; and connections among mixed livelihood strategies, the continuity of self‐provisioning activities, and resistance to fully commoditized consumption. [Key words: class and gender identity, Galicia, Spain, unpaid provisioning work, consumption]

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)0.001
metaresearch head score (Gemma)0.001
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 score0.046
Threshold uncertainty score0.091

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.333
Teacher spread0.307 · 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

Citations15
Published2002
Admission routes1
Has abstractyes

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