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Record W2803674450 · doi:10.4000/books.pum.10841

Un jurassien en Amérique du Nord

2017· book· fr· W2803674450 on OpenAlexaboutno aff
Marie-Angèle Lovis

Bibliographic record

VenuePresses de l’Université de Montréal eBooks · 2017
Typebook
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

« Le 2 septembre 1893, le paquebot La Champagne jetait l'ancre dans la baie de New York. » Ainsi commence le journal tenu par Amédée Girard, un émigré « ordinaire » et anonyme comme des millions d'autres exilés en Amérique à la fin du XIXe siècle. De New York à Montréal, où il se fixe dès son arrivée, l'auteur note les observations et les impressions que lui inspire son nouveau lieu de vie. Villageois jurassien contraint à un voyage sans retour, il entraîne le lecteur dans les méandres de la grande ville, les chemins tortueux de l'intégration et les tourments de la nostalgie. Mais le récit fait également part des moments de bonheur, des réussites et des rêves de lendemains qui chantent. Tout en se confiant à son journal intime pour soulager son sentiment de solitude, Amédée Girard s'adonne aussi à l'introspection et propose une réflexion sur ses valeurs chrétiennes et morales. Il fait enfin œuvre de journaliste et parfois d'anthropologue en racontant anecdotes et particularités de la vie au Canada. Ce témoignage d'une profondeur et d'une sincérité exceptionnelles présente un intérêt historique certain, qui permet de tirer de l'oubli quelques années de la vie de son auteur et aux lecteurs de bien comprendre le contexte migratoire de l'époque.

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)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.461
Threshold uncertainty score0.927

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.005
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0110.001

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 head0.035
GPT teacher head0.272
Teacher spread0.237 · 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
GenreOther

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

Citations0
Published2017
Admission routes1
Has abstractyes

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