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Record W3137516924 · doi:10.3917/spub.205.0507

Du projet professionnel d’internes de médecine générale angevins à leur exercice réel : 2012 à 2019

2021· article· fr· W3137516924 on OpenAlexaff
Romain Clisson, Cécile Angoulvant, Aline Ramond‐Roquin, Jessica Guelff

Bibliographic record

VenueSanté Publique · 2021
Typearticle
Languagefr
FieldHealth Professions
TopicHealth, Medicine and Society
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

INTRODUCTION: The installation of young general practitioners is determined by several factors, including their professional project. In 2012, a quantitative observational study examined the professional projects of general medicine residents in Angers. In 2019, the objective of this study was to highlight a continuity between professional projects and current exercise. METHOD: Quantitative declarative study by online form carried out from May to July 2019, about socio-demographic data, current exercise, and factors of evolution of the professional projects. The inclusion criteria were to have responded to the 2012 study and to have agreed to be contacted (N = 167). Construction of a change indicator (ISPP) based on a comparison of the mode of practice, the structure of practice and the type of patient envisaged, envisaged in 2012 and actual in 2019. RESULTS: The response rate was 76.6%. 48.4% worked exclusively in liberal practice, 31.3% were salaried, 11.7% had a mixed exercise. The professional plan envisaged during the internship (ISPP) was followed completely by 67.7% of interns and partially by 17.3%. The SASPAS influenced the evolution of the professional project (P = 0.026). The multiplication of liberal practice internships during residency favored subsequent liberal practice (P < 0.001). The main factors declared in the development of professional projects were training (77.3%) and family situation (53.1%). CONCLUSION: This cohort follow-up showed that more than two thirds of the residents followed their initial project. Identification and support of these individual projects during residency could be a way to promote their realization.

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 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)0.006
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.261
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0090.001

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 head0.039
GPT teacher head0.372
Teacher spread0.332 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations1
Published2021
Admission routes1
Has abstractyes

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