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Record W4220724846 · doi:10.14430/arctic74657

Subarctic Corridors in Northern Quebec: Is the Canadian Northern Corridor Concept Aligned with Quebec’s Historical Development?

2022· article· en· W4220724846 on OpenAlexvenueaboutno aff
Thomas Stringer, Marcelin Joanis

Bibliographic record

VenueARCTIC · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCross-Border Cooperation and Integration
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyLandlocked countryCircumpolar starSubarctic climateArcticEnvironmental protectionEnvironmental planningPolitical scienceArchaeologyOceanographyGeology

Abstract

fetched live from OpenAlex

Proposals for infrastructure development in Canada’s North are gaining political traction, including a corridor connecting the northern regions of each of the country’s provinces. Quebec is Canada’s largest, northernmost province and would be pivotal in the construction of the corridor. Examining the historical phases of Quebec’s northern development is crucial in assessing the challenges ahead. This paper groups Quebec’s infrastructure developments into three main phases, synthesizes each phase, and critically compares them to the proposed Northern Corridor concept (NCC). No research has yet examined the NCC’s complementarity with Quebec’s history of northern infrastructure development. While previous phases could be categorized as intraprovincial penetration corridors linking northern to southern Quebec, the NCC aims to develop an interprovincial economic corridor for landlocked provinces to be able to gain better sea access. Obstacles arising from the conciliation of past developments with the NCC include the unfitness of using existing infrastructures in Quebec for a Pan-Canadian corridor and differing development trajectories at the provincial and federal levels. Three route options for the NCC in Quebec are presented in this study. More generally, this paper outlines difficulties specific to subarctic remote corridor development.

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 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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.828
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.258
Teacher spread0.244 · 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 teacher head, not a consensus.

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

Citations2
Published2022
Admission routes2
Has abstractyes

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