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Record W2131163867 · doi:10.1177/1474474012469761

Opening Ungava to industry: a decentring approach to indigenous history in subarctic Québec, 1937–54

2013· article· en· W2131163867 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCultural Geographies · 2013
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsIndigenousSubarctic climateHomelandEthnohistoryContext (archaeology)State (computer science)EconomyEmbeddednessGeographyEthnologyPolitical scienceHistoryArchaeologySociologyPoliticsEcologySocial scienceEconomicsLaw

Abstract

fetched live from OpenAlex

This article examines the period leading up to the establishment of the Schefferville iron mine in subarctic Québec, Canada, with a focus on the years 1937–54. The beginning of iron ore mining at Schefferville was a decisive moment in the growth of the modern Québec state, opening the way for the industrial exploitation of the province’s natural resources – mineral and otherwise – in the hinterland. Relying on oral and written sources, the research emphasizes the roles and actions of Innu individuals during this phase of development conducted by exploration companies and the Iron Ore Company of Canada at the heart of their ancestral homeland. If the early mining experience at Schefferville evolved largely to the detriment of the Indigenous communities inhabiting the region, a decentring approach to ethnohistory in the context of industrial colonialism reveals that the Innu also worked to determine their own engagement with the mining world, adjusting and maintaining their practices on the land while participating in the wage labour economy.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.492
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.195
Teacher spread0.180 · 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