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Record W2167488899 · doi:10.1258/1355819041403222

Interdisciplinarity in health services research: dreams and nightmares, maladies and remedies

2004· article· en· W2167488899 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.

Bibliographic record

VenueJournal of Health Services Research & Policy · 2004
Typearticle
Languageen
FieldDecision Sciences
TopicInterdisciplinary Research and Collaboration
Canadian institutionsMcMaster University
Fundersnot available
KeywordsHospitalityEngineering ethicsDisciplineSociologyProductivityWork (physics)CreaturesPublic relationsPolitical scienceSocial scienceEngineering

Abstract

fetched live from OpenAlex

Interdisciplinarity has become popular in health services research. Advocates suggest that interdisciplinary approaches may produce more accessible, applicable, exciting and realistic knowledge than traditional disciplinary approaches. To date, there has been surprisingly little analysis of the institutional and intellectual demands of interdisciplinarity as a methodology or practice. This paper (1) identifies some basic intellectual and institutional features of interdisciplinary research, (2) describes typical interdisciplinary 'dreams' and corresponding 'nightmares' that researchers might encounter in practice, (3) highlights maladies of interdisciplinary research careers and suggests practical remedies, and (4) discusses implications for health research policy. Individual researchers can avoid pitfalls of interdisciplinarity through strategies that include selective collaboration, cross-training, sustained relationships, good humour, participation in peer review, declaring the place of one's work, and balancing dissemination of research between peer and other audiences. Interdisciplinary activities span institutional boundaries and make novel demands on academic resources and allegiances. Research organizations can improve their hospitality to interdisciplinary work by encouraging straightforward communication, recognising interdisciplinary productivity, making allowances for the higher time and energy costs of interdisciplinary liaisons, and providing the necessary institutional support and stability to cultivate projects to fruition. Alongside the creation of large new interdisciplinary networks and organizations, we should invest in the highly valuable contributions of small and enduring interdisciplinary teams, modest interdisciplinary stretches and evolving interdisciplinary creatures.

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)0.059
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.340
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0590.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.005
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0020.002
Research integrity0.0000.002
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 head0.161
GPT teacher head0.550
Teacher spread0.390 · 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