MétaCan
Menu
Back to cohort
Record W2955199032 · doi:10.4000/eps.8536

Le navettage aérien dans le Nord du Québec. Une étude exploratoire des représentations sociospatiales des travailleurs

2019· article· fr· W2955199032 on OpenAlexaffabout
M. Simard, Emma Maltais, Carl Brisson

Bibliographic record

VenueEspace populations sociétés · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

La montée de la demande en minerais au cours des deux dernières décennies a favorisé la mise en fonction de mines dans le Nord du Québec et au Labrador. Ainsi, divers projets miniers ont vu le jour, lesquels s’ajoutent aux exploitations existantes et aux barrages d’Hydro-Québec. Les cycles miniers du passé avaient entraîné la création de petites villes. Toutefois, la pratique du navettage aérien a remplacé l’érection d’établissements permanents par la mise en place de complexes hôteliers. La vie dichotomique des travailleurs migrants produit divers impacts sociaux en plus d’instituer une nouvelle forme d’habiter. En outre, ce mode d’occupation est favorisé par les technologies de télécommunications. Cette recherche a pour but d’étudier les représentations des travailleurs engagés dans ce système, à l’aide d’un sondage et d’entretiens. Ces représentations du travail et de la vie au Nord se révèlent complexes, entremêlant des éléments attractifs et répulsifs.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.193

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 studies0.0050.003
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.105
GPT teacher head0.358
Teacher spread0.254 · 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

Citations5
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueEspace populations sociétésSame topicFrench Urban and Social StudiesFrench-language works237,207