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Record W2772810774 · doi:10.1080/10401334.2017.1392864

HPE as a Field: Implications for the Production of Compelling Knowledge

2017· article· en· W2772810774 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

VenueTeaching and Learning in Medicine · 2017
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsBlueprintDisciplinePublic relationsField (mathematics)Privilege (computing)NegotiationEngineering ethicsSociologyCompromisePolitical scienceSocial scienceLaw

Abstract

fetched live from OpenAlex

ISSUE: Research in education, including health professions education, has long struggled with the competing concerns of academic and practice-based stakeholders. Inspired partially by the work of Stokes and other theorists in science and technology studies, we propose that discussions about compelling research in health professions education might be usefully advanced by considering what it would mean if the community framed itself as a knowledge-producing field instead of aligning itself with either disciplinary or practical interests. EVIDENCE: Efforts to foreground disciplinary or practical interests in education research have been unproductive, leading to the privileging of one group's expertise at the expense of the other. Currently proposed principles and practices for responding to the divergence between these interests, such as knowledge translation or practitioner inquiry, have yielded comparatively little in the way of mutual satisfaction. IMPLICATIONS: As a field, health professions education research would not privilege either disciplinary or practical interests, nor would it attempt any sort of definitive blueprint for resolution to the tension. Rather it would regard these interests as inherently interconnected and, therefore, always in tension to varying degrees. The challenge for a field is not to resolve that tension but to harness it in productive ways through collaboration, negotiation, and compromise, through ever-shifting engagements that will not necessarily be comfortable but will nonetheless foster knowledge that resonates with all parts of the community.

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)0.003
metaresearch head score (Gemma)0.027
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.863
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.027
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.047
GPT teacher head0.424
Teacher spread0.377 · 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