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Record W2983553419 · doi:10.1111/jep.13297

Interactions between persons—Knowledge, decision making, and the co‐production of practice

2019· editorial· en· W2983553419 on OpenAlexaff
Michael Loughlin, Stephen Buetow, Michael Cournoyea, Samantha Copeland, Benjamin Chin‐Yee, K. W. M. Fulford

Bibliographic record

VenueJournal of Evaluation in Clinical Practice · 2019
Typeeditorial
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsJudgementEpistemologyHealth careSociology of scientific knowledgeEngineering ethicsSociologyMeaning (existential)Context (archaeology)PsychologySocial science

Abstract

fetched live from OpenAlex

There is now broad agreement that ideas like person-centred care, patient expertise and shared decision-making are no longer peripheral to health discourse, fine ideals or merely desirable additions to sound, scientific clinical practice. Rather, their incorporation into our thinking and planning of health and social care is essential if we are to respond adequately to the problems that confront us: they need to be seen not as "ethical add-ons" but core components of any genuinely integrated, realistic and conceptually sound account of healthcare practice. This, the tenth philosophy thematic edition of the journal, presents papers conducting urgent research into the social context of scientific knowledge and the significance of viewing clinical knowledge not as something that "sits within the minds" of researchers and practitioners, but as a relational concept, the product of social interactions. It includes papers on the nature of reasoning and evidence, the on-going problems of how to 'integrate' different forms of scientific knowledge with broader, humanistic understandings of reasoning and judgement, patient and community perspectives. Discussions of the epistemological contribution of patient perspectives to the nature of care, and the crucial and still under-developed role of phenomenology in medical epistemology, are followed by a broad range of papers focussing on shared decision-making, analysing its proper meaning, its role in policy, methods for realising it and its limitations in real-world contexts.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.042
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.995
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.042
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.002
Science and technology studies0.0050.027
Scholarly communication0.0190.013
Open science0.0030.005
Research integrity0.0150.019
Insufficient payload (model declined to judge)0.0040.002

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 head0.244
GPT teacher head0.685
Teacher spread0.441 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreEditorial

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
Published2019
Admission routes1
Has abstractyes

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