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Record W4390105174 · doi:10.33524/cjar.v23i1.653

Call for Abstracts

2023· article· en· W4390105174 on OpenAlexvenueaboutno aff
CJAR

Bibliographic record

VenueThe Canadian Journal of Action Research · 2023
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsGeneral partnershipTheme (computing)Call to actionLibrary scienceEngineeringPolitical scienceComputer scienceLawBusinessWorld Wide WebAdvertising

Abstract

fetched live from OpenAlex

The Action Research Network of the Americas (ARNA) in partnership with Yellowhead Tribal College (YTC), Edmonton, Alberta, Canada. ARNA and YTC are very pleased to announce that YTC will host ARNA’s 11th Annual Conference as a hybrid event from May 30 – June 2, 2023 at the Yellowhead Tribal College in Edmonton, Alberta, Canada. The Call for Abstracts includes both ARNA’s traditional conference topics as well as a range of topics focused on this year’s theme: Land-Based Knowledge and Action Research. The deadline for abstract submissions is March 13, 2023. Please see the attached PDF for details.

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)0.030
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.165
Threshold uncertainty score0.235

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.030
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.003
Science and technology studies0.0030.001
Scholarly communication0.0090.004
Open science0.0030.004
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.8350.777

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 head0.528
GPT teacher head0.589
Teacher spread0.061 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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
Published2023
Admission routes2
Has abstractyes

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