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Record W2810534722 · doi:10.3917/annor.681.0087

Les terre-neuvas honfleurais au temps du Roi-Soleil (1665-1685)

2018· article· fr· W2810534722 on OpenAlexaboutno aff
André Zysberg

Bibliographic record

VenueAnnales de Normandie · 2018
Typearticle
Languagefr
FieldArts and Humanities
TopicMaritime and Coastal Archaeology
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

Fondé sur l’exploitation des congés et rapports de mer déposés dans les archives de l’amirauté de Honfleur et à partir d’un fichier informatique contenant 460 enregistrements, cet article s’intéresse aux divers aspects de la pêche morutière honfleuraise des années 1665-1685. À travers cette étude, on voit émerger une aventure dont l’issue est souvent incertaine, les marins des bateaux morutiers affrontant ces épreuves que sont la tempête, une avarie, la rencontre avec les corsaires, la prise du navire et parfois la captivité. Malgré ces difficultés, l’estimation des résultats par campagne montre cependant que la pêche des morues sur les bancs de Terre-Neuve et de la côte du Canada au cours de la seconde moitié du xvii e siècle constitua une activité très payante pour les armateurs honfleurais et fort rémunératrice pour les équipages, qui gagnaient en deux cents jours de travail de quoi vivre une année.

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 score0.699
Threshold uncertainty score0.607

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.002
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.033
GPT teacher head0.256
Teacher spread0.223 · 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".

Quick stats

Citations1
Published2018
Admission routes1
Has abstractyes

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