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Record W2139093126 · doi:10.12927/hcpap..18685

Healthy Workplaces and Effective Teamwork: Viewed through the Lens of Primary Healthcare Renewal

2007· letter· en· W2139093126 on OpenAlexvenueaboutno aff
Linda Jones, Daniel Way

Bibliographic record

VenueA Nudge Too Far? A Nudge at All? On Paying People to Be Healthy · 2007
Typeletter
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsnot available
Fundersnot available
KeywordsHealth careTeamworkEquity (law)Public healthPrimary health carePopulation healthPolitical scienceSociologyMedicinePublic relationsManagementLibrary scienceNursing

Abstract

fetched live from OpenAlex

This commentary reviews the content of the lead papers through the lens of primary healthcare renewal (PHCR). Although PHCR has been on the national agenda for decades, only since the turn of the century has real progress been made with emerging new practice models based on inter-professional team care. While much is expected, relatively little is known of the function and effectiveness of such teams in Canada. As well, information regarding healthy workplaces has focused on individual professional groups rather than an inter-professional workforce. Much of the knowledge currently available regarding team effectiveness and healthy workplaces comes from the hospital sector and may not be completely transferable. The work of the Interprofessional Education for Collaborative Patient-Centred Practice initiative and the results of the Health Transition Fund and Primary Health Care Transition Fund are additional key sources of research and knowledge transfer to guide the education, function and evaluation of inter-professional teamwork in these new primary healthcare practice models.

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)0.011
metaresearch head score (Gemma)0.039
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.050
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.039
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0110.014
Scholarly communication0.0080.010
Open science0.0030.005
Research integrity0.0500.047
Insufficient payload (model declined to judge)0.0040.001

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 head0.070
GPT teacher head0.414
Teacher spread0.344 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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

Citations7
Published2007
Admission routes2
Has abstractyes

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