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Confined to a tokenistic status: Social scientists in leadership roles in a national health research funding agency

2017· article· en· W2613887340 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSocial Science & Medicine · 2017
Typearticle
Languageen
FieldDecision Sciences
TopicInterdisciplinary Research and Collaboration
Canadian institutionsThe Wilson CentreUniversité de MontréalToronto General HospitalUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of CanadaCanadian Institutes of Health ResearchNational Institutes of HealthMedical Research CouncilNational Institute for Health and Care Research
KeywordsAgency (philosophy)MandateFunding AgencyGovernment (linguistics)Political scienceSocial researchPublic relationsPower (physics)Medical researchHealth services researchPublic administrationSociologyHealth careSocial scienceMedicineLaw

Abstract

fetched live from OpenAlex

The idea of interdisciplinarity has been taken up by academic and governmental organisations around the world and enacted through science policies, funding programs and higher education institutions. In Canada, interdisciplinarity led to a major transformation in health research funding. In 2000, the federal government closed the Medical Research Council (MRC) and created the Canadian Institutes of Health Research (CIHR). From the outset, CIHR's vision and goals were innovative, as it sought to include the social sciences within its purview alongside more traditional health research sectors. The extent to which it has been successful in this endeavour, however, remains unknown. The aim of our study was to examine how CIHR's intentions to foster inclusiveness and cooperation across disciplines were implemented in the agency's own organisational structure. We focused on social scientists' representation on committees and among decision-makers between 2000 and 2015, one of the key mandates of CIHR being to include the social sciences within its remit and support research in this area. We examined the composition of the Governing Council, the Institute Scientific Directors, the Chairs of the College of Reviewers, and two International Review Panels invited by CIHR. We targeted these committees and decision-makers since they hold the power to influence the field of Canadian health research through the decisions they make. Our findings show that, while CIHR was created with the mandate to support the entire spectrum of health-related research-including the social sciences-this call for inclusiveness has not yet been materialized in the agency's organisational structure. Social scientists, as well as researchers from neighbouring disciplines such as social epidemiology, health promotion and the humanities, are still confined to low levels of representation within CIHR's highest echelons. This imbalance limits social scientists' input into health research in Canada and undermines CIHR's interdisciplinary ambition.

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)0.049
metaresearch head score (Gemma)0.031
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesMetaresearch, Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.750
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0490.031
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0050.004
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.625
GPT teacher head0.618
Teacher spread0.007 · 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