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Record W4415586816 · doi:10.21083/crrf.v36i1.8093

Regional Policy in Multi- Level Sport Governance in Yukon, the Northwest Territories, and Nunavut: History and Implications

2025· article· W4415586816 on OpenAlexaffabout
Britta Peterson, Sofia Pantano, Audrey R. Giles, Kyle Rich

Bibliographic record

VenueProceedings of the Canadian Rural Revitalization Foundation · 2025
Typearticle
Language
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsBrock UniversityUniversity of Ottawa
Fundersnot available
KeywordsCorporate governanceAgency (philosophy)Regional policyMulti-level governancePublic policyPolicy analysis

Abstract

fetched live from OpenAlex

Much contemporary sport policy is focused on policy at the national (Parent et al., 2018;) and municipal (Oncescu & Fortune, 2022) levels, or in relation to community sport organizations (Rich & Misener, 2019). As such, Rich and colleagues (2023) identified a gap concerning the significance of regional actors and their implications on both institutional arrangements and policy implementation within Canadian sport governance literature. Further, very little research has examined sport policy within the Territorial North. The exploration of these gaps can play a significant role in understanding policy implementation and the agency of sport policy makers at regional levels within multi-level sport governance systems in Canada. Therefore, as part of a broader national study to explore the involvement of regional policy in sports institutions and comprehend how it affects organizational fields within multi-level sport governance systems, we collected and analyzed over 150 documents related regional policy from the Yukon, Nunavut, and the Northwest Territories (NWT). In this session, we will present a critical analysis of relevant sport policy implementation in the Yukon, NWT, and Nunavut between 2002 and 2023. Our findings contribute to discussions concerning regional sport governance within the Canadian context, and specifically highlights the intersection of sport and territorial policy.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.427
Threshold uncertainty score0.916

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
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 head0.039
GPT teacher head0.294
Teacher spread0.256 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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