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Record W3118723442 · doi:10.3961/jpmph.20.179

Is Job Insecurity Worse for Mental Health Than Having a Part-time Job in Canada?

2021· article· en· W3118723442 on OpenAlexafffundabout
Il‐Ho Kim, Cyu-Chul Choi, Karen Urbanoski, Jungwee Park, Jiman Kim

Bibliographic record

VenueJournal of Preventive Medicine and Public Health · 2021
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsUniversity of OttawaStatistics CanadaUniversity of VictoriaCentre for Addiction and Mental HealthWestern University
FundersNational Research Foundation of KoreaCanadian Institutes of Health ResearchNational Research Foundation
KeywordsJob insecurityMental healthJob satisfactionPsychologyMedicineDemographic economicsPsychiatrySocial psychologyEconomicsWork (physics)

Abstract

fetched live from OpenAlex

From the start of the residency trainingship in 1963, the residency training programs have been contributed much on the establishment and development of preventive medicine in Korea. But these programs are now have several problems to update the changes in health service needs of the population that were caused by a rapid epidemiologic transition from the acute infectious diseases to chronic diseases in last a few decades. Strengthening in medical practice, not just in knowledge is urgently required. Must have more concentrate on preventive service for the individual, as in clinical preventive medicine. Training residents by the systematic and well scheduled programs, not just 'teacher's assistant' in the academic facilities. Trying the change in the system of Specilty of Preventive Medicine to the well established several subspecialty, so more specific competency can be gained through the training. These approach and reformation may not only contribute for the better future of the preventive medicine, but also improve in disease prevention and health promotion, which required by the society in Korea.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.456
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.117
GPT teacher head0.436
Teacher spread0.319 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations10
Published2021
Admission routes3
Has abstractyes

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