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Record W2023395276 · doi:10.12927/hcpap.2014.23674

Transformational Change: Short-Term Gain for Long-Term Pain?

2013· letter· en· W2023395276 on OpenAlexaffvenue
Richard Stanwick

Bibliographic record

VenueA Nudge Too Far? A Nudge at All? On Paying People to Be Healthy · 2013
Typeletter
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsIsland Health
Fundersnot available
KeywordsTransformational leadershipPerspective (graphical)Term (time)Public healthFace (sociological concept)Health carePopulationPsychologyPopulation healthPublic relationsPrimary careMedicineNursingPolitical scienceEconomicsSociologyFamily medicineEconomic growthEnvironmental healthComputer science

Abstract

fetched live from OpenAlex

Transformational change as envisioned by Millar and colleagues forecasts a closer relationship between public health and primary care. In this commentary, public health readiness and the fiscal feasibility of the suggested model are examined from a pragmatic perspective based upon past and current experience. In the face of finite resources and compelling evidence on the merits of public health retaining its traditional involvement with community partners, the utility of late-stage secondary prevention collaboration with primary care is queried. Pursuing partnerships motivated by alleviating pressures in the healthcare system may be superficially attractive but might have a long-term negative impact on the health of the overall population.

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)0.014
metaresearch head score (Gemma)0.044
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 score0.046
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.044
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0090.025
Scholarly communication0.0080.018
Open science0.0030.008
Research integrity0.0460.070
Insufficient payload (model declined to judge)0.0100.002

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 head0.123
GPT teacher head0.379
Teacher spread0.256 · 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

Citations0
Published2013
Admission routes2
Has abstractyes

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