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Record W23958359 · doi:10.1016/j.pop.2013.05.002

Femmes, marchés et production textile au Nouveau-Brunswick, au XIXe siècle

2000· article· en· W23958359 on OpenAlexaboutno aff
Béatrice Craig, Judith Rygiel

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsProduction (economics)ArtPolitical scienceEconomics

Abstract

fetched live from OpenAlex

Jusqu’à une date récente, la persistance de la production textile domestique dans l’Est canadien au xixe siècle fut attribuée à la pauvreté. Les ménages agricoles, manquant de ressources pour se procurer de l’étoffe d’usine auprès des marchands, s’efforçaient d’être autosuffisants dans ce domaine. L’exemple du Nouveau-Brunswick montre que d’autres facteurs pouvaient encourager et faciliter cette production, et corrobore les hypothèses récentes émises par certains historiens canadiens. La production textile fut facilitée par le développement d’une infrastructure locale (moulins à carder), mais surtout par la possibilité de se procurer du coton de chaîne fabriqué en usine. Elle était destinée aux échanges et à la vente, tout autant qu’à la consommation familiale. La production textile domestique était aussi affaire de femmes, qui y trouvaient leur compte. Le textile domestique se vendait cher et le profit que les tisserandes retiraient de leur travail était élevé. Elles pouvaient espérer gagner presque autant qu’un salarié masculin.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.176
Threshold uncertainty score0.354

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0260.002

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 head0.020
GPT teacher head0.264
Teacher spread0.244 · 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 designNot applicable
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".

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Citations0
Published2000
Admission routes1
Has abstractyes

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