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Record W4386507999 · doi:10.1515/9780888647597

Gifted to Learn

2008· book· en· W4386507999 on OpenAlexaboutno aff
Gloria Mehlmann

Bibliographic record

VenueUniversity of Alberta Press eBooks · 2008
Typebook
Languageen
FieldNeuroscience
TopicNeuroscience, Education and Cognitive Function
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics educationPsychologyComputer science

Abstract

fetched live from OpenAlex

In 1960s Regina, when racial discrimination often went unchallenged, and the education system needed visionary reform, Gloria Mehlmann struggled to embrace her Cree/Saulteaux identity and sustain her passion for learning and teaching. Critical but not cynical, Mehlmann's touching stories reveal the experiences and students that taught her to become one of Saskatchewan's guiding voices for education reform. While devotees of memoir will be transported by Mehlmann's humane storytelling, specialists in Indigenous Studies, Education, Women's Studies, and Autobiography are also invited to explore the clear, strong prose within Gifted to Learn.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.013
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.009
Scholarly communication0.0040.004
Open science0.0000.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0130.004

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 head0.041
GPT teacher head0.226
Teacher spread0.185 · 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
Published2008
Admission routes1
Has abstractyes

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Same venueUniversity of Alberta Press eBooksSame topicNeuroscience, Education and Cognitive FunctionFrench-language works237,207