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Record W2884748811 · doi:10.7202/1049372ar

Les conceptions du Nord chez les géographes québécois

2018· article· fr· W2884748811 on OpenAlexaffvenueabout
M. Simard

Bibliographic record

VenueCahiers de géographie du Québec · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Le Nord québécois est un milieu géographique complexe et relativement peu connu. L’adoption du Plan Nord (2011) a suscité un renouveau d’intérêt à son égard, malgré la pertinence relative et les aléas du projet. Néanmoins, des géographes québécois s’intéressent au Nord depuis plusieurs décennies. Ces travaux, dont le pionnier est incontestablement Louis-Edmond Hamelin, offrent différentes lectures du Nord québécois ou canadien. Celles-ci se déclinent selon la dimension épistémologique ou selon un angle plus sociopolitique. Nous voulons donc comparer les diverses conceptions du Nord de quatre auteurs reconnus : Louis-Edmond Hamelin, Christian Morissonneau, Jules Dufour et Caroline Desbiens. Ils s’inscrivent dans un continuum temporel sur plus d’un demi-siècle, bien que leurs écrits sur le Nord ne présentent pas de continuité parfaite sur le plan des idées. Le résultat de cette recherche offrira un panorama des écrits de géographes québécois sur un territoire géographiquement important, voire sur une caractéristique, la nordicité, qu’on retrouve à différents degrés sur l’ensemble du territoire québécois.

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)0.002
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.400

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0140.014
Scholarly communication0.0090.004
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.012
GPT teacher head0.222
Teacher spread0.209 · 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

Citations4
Published2018
Admission routes3
Has abstractyes

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