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Record W4294792078 · doi:10.52113/6/2022-12-1/38-51

The impact of training quality on developing human resources capabilities / an applied study at the National Center for Training and Human Development in the Ministry of Health

2022· article· en· W4294792078 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

VenueMuthanna Journal of Administrative and Economics Sciences · 2022
Typearticle
Languageen
FieldPsychology
TopicHuman Resource Development and Performance Evaluation
Canadian institutionsImpact
Fundersnot available
KeywordsChristian ministryTraining (meteorology)Human resourcesCenter (category theory)Quality (philosophy)Training and developmentHuman healthMedical educationBusinessMedicinePolitical scienceEnvironmental healthManagementGeography

Abstract

fetched live from OpenAlex

This study dealt with the impact of the quality of training in helping individuals and professional institutions in building and developing human capabilities, as a theoretical framework was presented for some of what the writers and researchers put forward on the subject of training quality and its role in developing the capabilities of workers in various jobs, in addition to the practical framework, which included a review of some of the results of the training aspects in The National Center for Training and Human Development in the Ministry of Health, or the research included four main axes: A- The goal of the research. BThe procedures followed in the practical aspect C- The most important conclusions D- The most important recommendations

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)0.013
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.433
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.443
GPT teacher head0.496
Teacher spread0.053 · 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