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Record W2096467610 · doi:10.1080/02615470902838752

Journal Watch: An Inter-University Collaborative Learning Partnership

2009· article· en· W2096467610 on OpenAlex
Pamela Gough, J. J. Lajoie, Aron Shlonsky, Nico Trocmé

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSocial Work Education · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsMcGill UniversityUniversity of Toronto
Fundersnot available
KeywordsGeneral partnershipExcellenceWelfareMedical educationPublic relationsLibrary scienceSociologySustainabilityPublishingMedia studiesPolitical sciencePsychologyMedicine

Abstract

fetched live from OpenAlex

This article describes Journal Watch, a monthly lunchtime discussion group of faculty, staff and graduate students from the University of Toronto, McGill University and the Centre of Excellence for Child Welfare (CECW) in Canada. The group searches journals each month for empirical research on child welfare, which are reviewed during monthly videoconferences. Short reviews of exceptional articles are shared in both English and French with the broader community of child welfare researchers and practitioners across Canada through CECW's electronic newsletter. Journal Watch provides a broad overview of the emerging published research in child welfare, translates and disseminates this research to a broad audience, and trains new scholars in critical thinking. Two years after formation, the group is operating sustainably and there is a demand among Canadian child welfare practitioners for Journal Watch's succinct reviews.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.708
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0070.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.040
GPT teacher head0.381
Teacher spread0.341 · 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