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Record W2606166068 · doi:10.1080/19406940.2017.1310742

Understanding the privatisation of funding for sport for development in the Northwest Territories: a Foucauldian analysis

2017· article· en· W2606166068 on OpenAlexafffundabout
Kevin Gardam, Audrey R. Giles, Lyndsay Hayhurst

Bibliographic record

VenueInternational Journal of Sport Policy and Politics · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsYork UniversityUniversity of Ottawa
FundersSocial Sciences and Humanities Research Council of CanadaLakehead UniversityUniversity of Ottawa
KeywordsGovernmentalityPublic administrationPolitical scienceEconomic growthSociologyPoliticsEconomicsLaw

Abstract

fetched live from OpenAlex

In the Northwest Territories (NWT), Canada, the political landscape has created opportunities for mining, oil, and gas (‘extractives’) industries to ‘replace’ some of the federal and territorial governments’ provision of social programmes. With the ‘boom’ or ‘bust’ uncertainty of the resource economy in Canada, questions arise concerning the long-term stability of extractives industry-funded provision of services, including sport for development (SFD) initiatives. In this study of SFD in the NWT, we use a Foucauldian approach to examine historical and present-day discourses to identify the conditions of possibility – that is, those conditions that have facilitated an apparent need and funding for SFD in the NWT. The format of our paper is as follows: First, we provide an overview of Foucauldian theory and our methodology, archaeology. Through an archaeological examination of discourse related to sport and the NWT, we argue that there are four conditions of possibility that have created the need for SFD in the NWT: the history of settlement, the rise of SFD, corporate social responsibility, and NWT socio-economic agreements signed at the territorial and community levels. We conclude this paper by raising important implications that these conditions may have for sport and the provision of services and social and political issues in the NWT.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.751
Threshold uncertainty score0.872

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.175
GPT teacher head0.421
Teacher spread0.246 · 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 designTheoretical or conceptual
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

Citations18
Published2017
Admission routes3
Has abstractyes

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