MétaCan
Menu
Back to cohort
Record W1642782309 · doi:10.3138/cbmh.30.1.31

Medical Genetics at McGill: The History of a Pioneering Research Group

2013· article· en· W1642782309 on OpenAlex
Christopher Canning, George Weisz, Andrea Tone, Alberto Cambrosio

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.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Journal of Health History · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicMedical History and Research
Canadian institutionsMcGill UniversityMental Health Commission of Canada
FundersCanadian Institutes of Health ResearchNational Institutes of HealthMental Health CommissionMcGill University
KeywordsSuccessor cardinalMedical geneticsLibrary scienceHistory of medicineAnthropologySociologyHistoryClassicsGeneticsBiologyComputer science

Abstract

fetched live from OpenAlex

The McGill Group in Medical Genetics was formed in 1972, supported by the Medical Research Council and successor Canadian Institutes for Health Research until September 2009, making it the longest active biomedical research group in the history of Canada. We document the history of the McGill Group and situate its research within a broader history of medical genetics. Drawing on original oral histories with the Group's members, surviving documents, and archival materials, we explore how the Group's development was structured around epistemological trends in medical genetics, policy choices made by research agencies, and the development of genetics at McGill University and its hospitals.

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)0.005
metaresearch head score (Gemma)0.000
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.801
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0340.000

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 head0.210
GPT teacher head0.309
Teacher spread0.098 · 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