MétaCan
Menu
Back to cohort
Record W7094337279

9781773850733.pdf

2022· other· en· W7094337279 on OpenAlexaboutno aff

Bibliographic record

VenueOAPEN (The OAPEN Foundation) · 2022
Typeother
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsOutreachExcellenceContext (archaeology)Health careIndigenousCommunity health
DOInot available

Abstract

fetched live from OpenAlex

The University of Calgary’s innovative and collaborative approach to health care education is celebrated in an interdisciplinary collection. Bedside and Community is the inside story of fifty years of health care and health research at the University of Calgary. Drawing on the first-person accounts of researchers, administrators, faculty, and students along with archival research, and faculty histories, this collection celebrates the many significant contributions the University of Calgary has made to the health of Albertans. With contributions from the Cumming School of Medicine, the Faculty of Nursing, Faculty of Kinesiology, Faculty of Veterinary Medicine, Faculty of Environmental Design, Department of Psychology, and Indigenous Health Initiatives Bedside and Community is a truly collaborative history. Addressing the links between departments, the relationship between the university and the community, and evolving research and teaching methods, this book places the University of Calgary within a wider national context and shows how it has addressed the unique health needs of Southern Alberta. With a pioneering focus on primary care and commitment to interdisciplinary connections, the University of Calgary has made strides in health research, health education, and community outreach. Bedside and Community tells the story of a tradition of excellence that will light the way to future outreach and discovery.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient 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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.982
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0110.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.9810.895

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 head0.016
GPT teacher head0.306
Teacher spread0.290 · 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; both teacher heads 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueOAPEN (The OAPEN Foundation)Same topicIndigenous Health, Education, and RightsFrench-language works237,207