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Record W1525408069

Soccer and Society: A Study of Ethnic Group Adaptation in Society Through the Game of Soccer; Windsor, Ontario, 1972

2011· book· en· W1525408069 on OpenAlexaboutno aff
Sergio Gino Perciballi

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2011
Typebook
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsWindsorEthnic groupAdaptation (eye)Group (periodic table)SociologyPsychologyAnthropologyEcologyChemistryBiology
DOInot available

Abstract

fetched live from OpenAlex

The primary objective of this study was to provide a historical account of how soccer was used as a vehicle aiding or inhibiting the adaptation of ethnic groups into society in Windsor, Ontario. Furthermore, it was to determine the value that ethnic groups of the 1972 South-Western Ontario Soccer League placed in regards to maintaining their own culture and identity, creating and maintaining relationships with other ethnic groups, and comparing how the adaptation strategies differed across the teams of the league. Teams representing the Italian, Hungarian, Greek, German, Croatian, English, Scottish, and Serbian communities at the time were examined. The information retrieved through one-on-one, semi-structured interviews revealed the degree of cultural and structural assimilation experienced by their members. In addition, an accurate account of the way in which each ethnic team generally addressed the questions posed in J.W. Berry's model of ethnic group adaptation was revealed.

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 score0.030
Threshold uncertainty score0.171

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0100.003
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.088
GPT teacher head0.284
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

Citations1
Published2011
Admission routes1
Has abstractyes

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