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Record W4246985235 · doi:10.24124/2014/bpgub1000

Students Who Stay: Stories of Northern Medical Program Graduates and Place Integration.

2014· dissertation· en· W4246985235 on OpenAlexaboutno aff
Joanna Paterson

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsnot available
Fundersnot available
KeywordsWorkforceEconomic shortageTransformational leadershipMedical educationRural areaNursingQualitative researchMedicineFamily medicineGeographyPolitical sciencePublic relationsSociologyGovernment (linguistics)

Abstract

fetched live from OpenAlex

Canada's persistent nationwide physician shortage is further complicated in remote, rural, and northern areas because a considerable majority of Canadian physicians choose to practice in larger urban centres, leaving many sparsely populated communities with inadequate access to physicians. Research into physician maldistribution clearly shows that increasing the supply of medical graduates alone will not improve the situation in rural and remote Canada. In addition to recruitment, processes that contribute to retention must be considered and integrated into strategies aimed at reducing physician maldistribution. There remains a lack of knowledge about the unique experiences of students who train in northern British Columbia (BC). The purpose of this research is to better understand the significant, influential, and transformational experience of northern BC-trained medical students and new physicians in order to better support northern communities in retaining a sustainable physical workforce. Qualitative data from interviews with seven NMP graduates currently practicing medicine in northern BC were analyzed. Strong themes related to students' backgrounds, characteristics of community, and experiences throughout their time in the NMP suggest that the evolution of individuals' attitudes and decisions prior to arriving in a community influence their ongoing process of integration and retention in place. --Leaf ii.

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)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.120
Threshold uncertainty score0.239

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0290.014
Scholarly communication0.0070.005
Open science0.0020.009
Research integrity0.0030.010
Insufficient payload (model declined to judge)0.0030.001

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 head0.030
GPT teacher head0.473
Teacher spread0.444 · 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 designQualitative
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

Citations0
Published2014
Admission routes1
Has abstractyes

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