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Record W2580527514 · doi:10.3138/tric.37.2.275

<i>PUSH</i>(ed) to the Periphery: The Intersection of Disability, Race, and Gender at the 2015 Parapan Am Games

2016· article· en· W2580527514 on OpenAlexaffvenueabout
Pippa Ruddy

Bibliographic record

VenueTheatre Research in Canada · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAttendanceEvent (particle physics)Intersection (aeronautics)Atmosphere (unit)The artsRace (biology)Conjunction (astronomy)Period (music)AdvertisingSociologyPsychologyMedia studiesGender studiesVisual artsPolitical scienceArtAestheticsGeographyCartographyBusiness

Abstract

fetched live from OpenAlex

In conjunction with the 2015 Pan Am and Parapan Am Games, the host city of Toronto commissioned twenty-eight performing arts productions as a part of the cultural initiative called Panamania. Dozens of free concerts, events, and a festival-like atmosphere contributed to the Panamania project, which aimed to enhance the overall experience of the Pan Am/Parapan Am Games (“Panamania Arts amp; Culture Program” 1). Remarkably, however, out of the twenty-eight ticketed events, only three took place during the Parapan Am Games, suggesting an expectation bias (either explicit or implicit): specifically, that the Pan Am Games would draw more attendance than the Parapan Am event, and therefore boost Panamania sales in the earlier period.

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)0.002
metaresearch head score (Gemma)0.003
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.240

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0200.013
Scholarly communication0.0090.002
Open science0.0010.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.001

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 head0.074
GPT teacher head0.396
Teacher spread0.322 · 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

Citations1
Published2016
Admission routes3
Has abstractyes

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