MétaCan
Menu
Back to cohort

Sense of place, place attachment, and belonging-in-place in empirical research: A scoping review for rural health workforce research

2022· review· en· W4211003602 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

VenueHealth & Place · 2022
Typereview
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsWorkforceSense of placeEmpirical researchRural areaSociologyEconomic shortageInequalityPublic relationsNursingPsychologyMedicineEconomic growthSocial sciencePolitical scienceEconomics

Abstract

fetched live from OpenAlex

Rural communities around the world face chronic shortages of medical, nursing, and allied health professionals that contribute to serious inequalities between urban and rural residents. Three concepts have been identified as relevant for health workforce recruitment and retention: sense of place, place attachment, and belonging-in-place. However, there is limited information regarding operationalisation of these concepts within health workforce studies. This paper presents findings from a scoping review investigating empirical application of these concepts across a range of disciplines. Findings identify various strategies for empirical application of two of these three concepts to health workforce research and highlight the value of particular approaches for studies of rural health workforce retention. The paper concludes with several recommendations for future 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.

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)0.088
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.348
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0880.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0090.000
Bibliometrics0.0030.008
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0010.013
Insufficient payload (model declined to judge)0.0010.000

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 head0.583
GPT teacher head0.685
Teacher spread0.101 · 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