MétaCan
Menu
Back to cohort
Record W4409429320 · doi:10.5040/9781718243798

Sport and Recreation in Canadian History

2021· book· en· W4409429320 on OpenAlexaboutno aff

Bibliographic record

VenueHuman Kinetics eBooks · 2021
Typebook
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsRecreationGeographyHistoryPolitical scienceLaw

Abstract

fetched live from OpenAlex

<JATS1:p>Serving as a foundation for critical discussion about the importance of the past, Sport and Recreation in Canadian History covers the historical events, people, and moments that shape Canadian sport in the present and future. While this text focuses on sport and recreation practices on these lands now claimed by Canada, it is set within a larger historical context of interconnecting social and cultural practices to speak to the sustained tensions, complexities, and contradictions prevalent in Canadian society.</JATS1:p> <JATS1:p>The editor, Dr. Carly Adams, and her 17 contributing experts from across Canada bring the latest research in all areas of Canadian sport history to life and present a thorough look at the nation’s past events. The text challenges the dominant narratives and encourages students to think critically about Canadian sport history. It examines how gender, ethnicity, race, religion, ability, class, and other systems of oppression and privilege have shaped sport and recreation practices, with Canadian sporting culture reproducing many of the same oppressive systems that exist on the larger scale.</JATS1:p>

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.107
Threshold uncertainty score0.774

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.008
Science and technology studies0.0180.008
Scholarly communication0.0090.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0170.001

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 head0.051
GPT teacher head0.288
Teacher spread0.237 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueHuman Kinetics eBooksSame topicSport and Mega-Event ImpactsFrench-language works237,207