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Health Research, Practice, and Education

2017· book-chapter· en· W2768073560 on OpenAlexaff
Angus McMurtry, Kelly N Kilgour, Shanta Rohse

Bibliographic record

VenueOxford University Press eBooks · 2017
Typebook-chapter
Languageen
FieldDecision Sciences
TopicInterdisciplinary Research and Collaboration
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsTransdisciplinarityTeamworkNegotiationEngineering ethicsHealth careInterpersonal communicationStakeholderKnowledge managementSociologyManagement sciencePsychologyPublic relationsPolitical scienceComputer scienceEngineeringSocial science

Abstract

fetched live from OpenAlex

Abstract Interdisciplinary health science and interprofessional healthcare are distinct yet intertwined fields that are driven by a similar challenge: Complex health problems that are too broad or multifaceted to be solved through the logic of a single discipline. A few factors distinguish them from other interdisciplinary areas, however, including (1) their foci—cancer, diabetes, infectious disease and so forth—which are quite literally matters of life and death; and (2) that they are generally carried out by teams of collaborating specialists, so issues of interpersonal dynamics, negotiation, and collaborative learning are especially important. “Health Research, Practice and Education” defines and critically reviews the two fields. More specifically, it compares their differing approaches to a number of emerging issues: stakeholder engagement and transdisciplinarity, the complexity of human health, the development of more sophisticated theories of collaboration and teamwork, practical conditions that support collaboration and teamwork, and finally, issues of evaluation and measurement.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.796
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.230
GPT teacher head0.449
Teacher spread0.220 · 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; a candidate call from one teacher head, not a consensus.

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

Citations4
Published2017
Admission routes1
Has abstractyes

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