MétaCan
Menu
← Back to cohort
Record W4283452110 · doi:10.12927/hcpap.2022.26846

The Value of and Need for Health Services and Policy Research that Focuses on Macro System-Level Challenges

2022· article· en· W4283452110 on OpenAlexaffvenue
Kimberlyn McGrail, Fiona Clement, Michael R. Law

Bibliographic record

VenueA Nudge Too Far? A Nudge at All? On Paying People to Be Healthy · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsUniversity of CalgaryUniversity of British Columbia
Fundersnot available
KeywordsTimelineGeneral partnershipMacroValue (mathematics)Investment (military)Macro levelPublic relationsIntervention (counseling)Focus (optics)Management scienceBusinessPublic economicsPolitical scienceMarketingEconomicsMedicineComputer scienceFinanceNursing

Abstract

fetched live from OpenAlex

Much of health services and policy research is applied. We offer four provocations to stimulate thinking about the relationship between research and the "systems" it aims to influence. We conclude that a focus on partnership implies that researchers need to be empathetic to the timelines and needs of policy makers, while true relationships are bidirectional. Focusing on the priorities of "systems" will emphasize short-term issues. This leads to researchers often conducting post-implementation evaluation, where they have had little involvement in policy or intervention design. Finally, a focus on single-project return of investment will tend to undervalue riskier - but also potentially more rewarding - research.

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)0.090
metaresearch head score (Gemma)0.139
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.090
Threshold uncertainty score0.475

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0900.139
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.005
Science and technology studies0.0050.041
Scholarly communication0.0260.042
Open science0.0030.012
Research integrity0.0150.012
Insufficient payload (model declined to judge)0.0080.001

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 head0.556
GPT teacher head0.493
Teacher spread0.063 · 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 designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations2
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueA Nudge Too Far? A Nudge at All? On Paying People to Be Healthy→Same topicHealth Systems, Economic Evaluations, Quality of Life→French-language works237,207→