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Record W2156410139 · doi:10.1177/1077800409343069

Zero Tolerance

2009· article· en· W2156410139 on OpenAlexaffabout
Tara Goldstein, Jocelyn Wickett

Bibliographic record

VenueQualitative Inquiry · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsThe artsMedical educationPedagogySociologyPsychologyVisual artsMedicineArt

Abstract

fetched live from OpenAlex

In May 2007, 15-year-old Jordan Manners was shot and killed in the hallway of his Toronto school. In June 2007, the Toronto District School Board commissioned an investigation into school safety, which resulted in a report entitled The Road to Health: A Final Report on School Safety. In February 2008, in an attempt to provoke discussion about the investigative report among teacher candidates and teacher educators in Toronto, the author adapted The Road to Health into a performance script. The script, directed by MA student and theatre artist Jocelyn Wickett, was performed in September 2008, for 500 teacher candidates at the Ontario Institute for Studies in Education’s annual Safe Schools Conference. The preparation of script involved the task of adapting a very large investigative report on school safety into a performance for the stage, in order to provide an example of how arts-based researchers or research-based artists can assist in the dissemination of important research and investigative reports.

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)0.004
metaresearch head score (Gemma)0.022
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: none
Teacher disagreement score0.141
Threshold uncertainty score0.472

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.022
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0070.005
Open science0.0020.008
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.1410.046

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 head0.155
GPT teacher head0.399
Teacher spread0.244 · 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

Citations3
Published2009
Admission routes2
Has abstractyes

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