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Record W4393042558 · doi:10.1016/j.lansea.2024.100393

Lessons from workplace health promotion efforts in Thailand

2024· article· en· W4393042558 on OpenAlexfundno aff
Jidapa Hanvoravongchai, Chathaya Wongrathanandha, Piya Hanvoravongchai

Bibliographic record

VenueThe Lancet Regional Health - Southeast Asia · 2024
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsnot available
FundersHealth Systems Research InstituteTrillium Health Partners FoundationThai Health Promotion FoundationMinistry of Public HealthU.S. Department of Education
KeywordsHealth promotionWorkplace health promotionPublic healthChristian ministryPromotion (chess)Environmental healthHealth policyMedicineNursingBusinessPublic relationsPolitical scienceEconomic growth

Abstract

fetched live from OpenAlex

In Thailand, there have been significant efforts, both at the organization level and at national level, to foster stronger health promotion in the workplace. Several workplace health promotion (WHP) programs have been implemented at the national level, and several initiatives launched by the entities under the Ministry of Public Health (MOPH). The Table 1 below shows the major national programs in Thailand. Their objectives align with the National Health Reform agenda, which aims to actively enhance health among Thai workers.

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)0.008
metaresearch head score (Gemma)0.008
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.038
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.003
Scholarly communication0.0070.003
Open science0.0010.004
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0060.001

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 head0.157
GPT teacher head0.471
Teacher spread0.314 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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