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Record W2281331688

The Canada Not For Profit Corporations Act: Perceived impact on the governance of federal sport organizations

2015· dissertation· en· W2281331688 on OpenAlexaboutno aff
Benjamin Jacobs

Bibliographic record

VenueBrock University Digital Repository (Brock University) · 2015
Typedissertation
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate governanceNot for profitBusinessAccountingPublic administrationPublic relationsPolitical scienceFinance
DOInot available

Abstract

fetched live from OpenAlex

This thesis examined the impact of the Canada Not-for-Profit Corporations Act (2009) on the governance of national sport organizations (NSO). The impact of the legislation was explored through the perceptions of NSO executive leaders and by analyzing the by-laws in effect before the legislation. The legislation was perceived to have the greatest impact on enhancing accountability, specifically affecting membership categories and director selection. The interview data showed that the legislation was necessary to enhance accountability in many NSOs. The Respondents also demonstrated that they understood the goals sought through the legislation. The data also showed that the boards of NSOs were already in alignment with the goals of the legislation. With respect to governance, the data indicated that NSOs rely almost exclusively on their regional sport associations as voting stakeholders. An emerging issue that came out of the results was the role of athletes in the governance of sport organizations.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.933
Threshold uncertainty score0.483

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0120.009
Scholarly communication0.0070.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.231
Teacher spread0.217 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2015
Admission routes1
Has abstractyes

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