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Record W2111187086

The Impact of the 2008 Recession on Youth Sport Programs in a Local Community

2011· book· en· W2111187086 on OpenAlexaffabout
Courtney Peddle

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2011
Typebook
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsRecessionPolitical scienceAdvertisingGeographyBusinessEconomicsKeynesian economics
DOInot available

Abstract

fetched live from OpenAlex

Recently, Canada endured an economic recession where various industries and sectors were affected by the altering economic environment. The purpose of this study is to examine the impact the 2008 recession had on youth sport programs offered by the public and voluntary sectors with respect to participation rates and the manner by which the sport organizations dealt with potential consequences. Thirteen semi-structured interviews were conducted with managers or board members of community sport programs in London, Ontario (Canada). The results indicate that the recession had no impact on the overall participation rates for the sports that were examined. However, underlying processes caused shifts in participation patterns (e.g., higher attraction to lower cost programs). Individuals in higher socioeconomic brackets were less impacted. An increase was seen in the usage of existing subsidy programs. Organizations developed various business strategies, (e.g., freezing prices), to minimize the impact of the recession.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical
Teacher disagreement score0.233
Threshold uncertainty score0.468

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0020.000
Open science0.0010.002
Research integrity0.0000.001
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 head0.081
GPT teacher head0.276
Teacher spread0.196 · 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 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

Citations5
Published2011
Admission routes2
Has abstractyes

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