MétaCan
Menu
Back to cohort
Record W1785225147

In the North, For the North: Post-Secondary Education in the Provincial North

2014· article· en· W1785225147 on OpenAlexaffabout
William R. Morrison

Bibliographic record

VenueNorthern review · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsCircumpolar starOutreachTransformative learningPolitical scienceArcticScope (computer science)Northern irelandPoliticsHigher educationEconomic growthGeographySociologyEthnologyPedagogyEcologyOceanography
DOInot available

Abstract

fetched live from OpenAlex

Abstract: For generations, promoters of northern political and economic development have emphasized the importance of post-secondary education.  These northern advocates have lamented the absence or narrow scope of post-secondary institutions in the North.  Canada is the only Circumpolar Nation without an Arctic university, and there is ample evidence that the region and the country are much the poorer for the lack of northern research, education and training capacity.  It is not that Canadian institutions have ignored the region.  Northern tier community colleges have played key and innovative roles in responding to regional needs.  Southern universities have, through a variety of undergraduate, graduate and professional outreach programs, provided some degree options in the North.  The University of the Arctic represents an innovative circumpolar effort to address northern needs across the Circumpolar North.  Focusing on the University of Northern British Columbia, which opened in 1994, this paper demonstrates how responsive, regionally-aware post-secondary institutions can have transformative effects on their host communities and regions, and deals with some of the controversies surrounding the opening of the university.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.860
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.026
GPT teacher head0.336
Teacher spread0.310 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueNorthern reviewSame topicArctic and Russian Policy StudiesFrench-language works237,207