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Record W1540573950

Sociology of interprofessional health care practice : critical reflections and concrete solutions

2011· book· en· W1540573950 on OpenAlexaboutno aff
Simon Kitto, Janice Chesters, Jill Thistlethwaite, Scott Reeves

Bibliographic record

Venuenot available
Typebook
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsnot available
Fundersnot available
KeywordsRedressHealth careDisciplinePhenomenonSociologyEngineering ethicsInterprofessional educationPublic relationsAllied health professionsNursingMedicineSocial sciencePolitical scienceEpistemologyEngineeringLaw
DOInot available

Abstract

fetched live from OpenAlex

In recent years governments around the world have been bending their will toward increasing collaborative practice amongst health care professionals. Although interprofessional learning has been on the agenda since the 1950s, to date there has been mixed success in bringing the disparate range of health professionals in the health care system together in a coherent and systematic way. Surprisingly, there has been limited sociological analysis of this phenomenon with no identifiable seminal text that critical analyses the issues facing the development of successful inter-professional practice in health. This edited collection to redress this by providing the conditions for critical engagement with inter-professional issues through developing a critical sociology of interprofessional health care practice. The core strength of the book is the meditations, case studies, evaluations and theoretical reflections on the practice of inter-professional collaboration in health by preeminent scholars from Australia, Canada and the United Kingdom. The book provides a sophisticated critical inquiry that uses a wide array of multi-disciplinary conceptual tools to study the phenomenon of interprofessional practice in a way that is easily understood by both instructors and students in the fields of medicine, allied health and nursing. [Publisher website]

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.608
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.101
GPT teacher head0.545
Teacher spread0.444 · 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

Citations29
Published2011
Admission routes1
Has abstractyes

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