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Record W1749007500 · doi:10.7202/1018414ar

DIANE WISHART. The rose that grew from concrete: Teaching and learning with disenfranchised youth. Edmonton, AB: University of Alberta Press. (2009). 208 pp. Paper: $24.95. (ISBN 978-0-88864-516-6)

2013· article· en· W1749007500 on OpenAlexaffvenueabout
Terezia Zoric, Rodney Handelsman

Bibliographic record

VenueMcGill Journal of Education / Revue des sciences de l éducation de McGill · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsMcGill UniversityUniversity of Toronto
Fundersnot available
KeywordsRose (mathematics)Wishart distributionSociologyArtMathematics educationPsychologyMathematicsStatisticsGeometry

Abstract

fetched live from OpenAlex

DIANE WISHART. The rose that grew from concrete: Teaching and learning with disenfranchised youth. Edmonton, AB: University of Alberta Press. (2009). 208 pp. Paper: $24.95. (ISBN 978-0-88864-516-6). Un article de la revue McGill Journal of Education / Revue des sciences de l'éducation de McGill (Apprendre à vivre ensemble par l’éducation et la formation. Regards africains, français et québécois) diffusée par la plateforme Érudit.

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: Review · Consensus signal: Review
Teacher disagreement score0.479
Threshold uncertainty score0.953

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.005
Science and technology studies0.0030.002
Scholarly communication0.0040.006
Open science0.0020.002
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0460.019

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 head0.138
GPT teacher head0.336
Teacher spread0.198 · 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
GenreReview

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
Published2013
Admission routes3
Has abstractyes

Explore more

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