MétaCan
Menu
Back to cohort
Record W820821577 · doi:10.1007/978-94-6209-938-8_5

In(di)geneity in Design and Technology Education

2015· book-chapter· en· W820821577 on OpenAlexaffabout
Peter Cole, Pat O’Riley

Bibliographic record

VenueSensePublishers eBooks · 2015
Typebook-chapter
Languageen
FieldPsychology
TopicScience Education and Perceptions
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsJungleTricksterVisual artsArtComputer scienceHistoryArchaeology

Abstract

fetched live from OpenAlex

Indigenous trickster glyphs and figurations from Canada’s westcoast, Coyote and Raven (C&R), are wont to roam and soar freely, rather than be confined to field, fen, glen, thicket, moor, genre, medium, discipline or paradigm. It behooves them to be told to carry and produce a visa or carte du maître at a border, bridge, stile, lock, gate or wicket, so they make do—shapeshifting, makeshifting, circumlocuting and electron tunneling to, by, with, through, across, and around regulations and natural laws.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.006
Scholarly communication0.0040.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0210.003

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 head0.093
GPT teacher head0.359
Teacher spread0.266 · 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

Citations5
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueSensePublishers eBooksSame topicScience Education and PerceptionsFrench-language works237,207