Articulating the ideal: 50 years of interprofessional collaboration in <i>Medical Education</i>
Bibliographic record
Abstract
CONTEXT: Health care delivery and the education of clinicians have changed immensely since the creation of the journal Medical Education. In this project, we seek to answer the following three questions: How has the concept of collaboration changed over the past 50 years in Medical Education? Have the participants involved in collaboration shifted over time? Has the idea of collaboration itself been transformed over the past 50 years? METHODS: Starting from a constructionist view of scientific discourse, we used directed content analysis to sample, code and analyse 144 collaboration-related articles over the 50-year life span of Medical Education. We developed an analytical framework to identify the key components of varying articulations of 'collaboration', with a focus on shifts in language and terminology over time. Our sample was drawn from an archive of 1221 articles developed to celebrate the 50th anniversary of Medical Education. RESULTS: Interprofessional collaboration is conceptualised in three primary ways throughout our sample: as a psychometric property; as tasks or activities, and, more recently, as 'togetherness'. The first conceptualisation articulates collaboration as involving knowledge or skills that are teachable to individuals, the second as involving the education of teams to engage in structured meetings or task distribution, and the third as the building of networks of individuals who learn to form team identities. The 'leader' of collaboration is typically conceptualised as the doctor, who is consistently articulated by authors as the active agent of collaborative care. Other clinicians and students of other professions are, as the wording in this sentence suggests, usually positioned as 'others', and thus as more passive participants in, or even observers of, 'collaboration'. CONCLUSIONS: In order to meet goals of meaningful collaboration leading to higher-quality care, it behoves us as a community of educators and researchers to heed the ways in which we teach, think and write about interprofessional collaboration, interrogating our own language and assumptions that may be betraying and reproducing harmful care hierarchies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".