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Record W4411618349 · doi:10.51847/1pahufksce

10.51847/1PAHuFkSCE

2000· article· en· W4411618349 on OpenAlexvenueno aff

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate governanceClinical governanceHuman resourcesBusinessMedicineProcess managementIntensive care medicinePolitical scienceManagementEconomicsHealth careFinance

Abstract

Backgrounds and Purposes: Clinical governance is a framework that guides healthcare organizations in order to continuously improve the quality of services, maintain the highest standards of conduct and create an environment in which excellence in clinical care leads to system improvements.Rather than merely establishing mechanisms to enhance the quality of the services, in the implementation of clinical governance, each individual shall be in a positive, enabling atmosphere enhancing his/ her daily performances, thus, having the appropriate knowledge and ability is necessary.The aim of this study was to investigate the effect of empowering human resources on enforcing the clinical governance in the hospital of Borujerd city.Materials and methods: In terms of purpose, this study is an applied research being in the category of causal researches.The population of the study includes the staff of the hospitals of Boroujerd city.For the data collection purposes, a questionnaire with 20 questions was used after being assessed for its validity and reliability.The structural equation modelling was used in this study, to study the relationship between the components of the model.LISREL software was used to analyze hypotheses.Conclusion: According to the data analysis, it was concluded that the empowering of the staff affects the independence, educating, Job enrichment and the implementation of clinical governance.Occupational independence, Job enrichment and educating have an impact on the implementation of clinical governance, in addition, the empowerment of human resources through occupational independence, educating and the job enrichment affects implementation of clinical governance.

Stored with the screening record, where it is evidence for the labels above.

How this classification was reachedexpand

The three-model screen

all 5,600 screened works →

All three models called this out of scope.

stratum: venue_new · design weight: 2684.25 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: empirical
about Canada: no
confidence: medium

Study of clinical governance implementation in healthcare organizations; the object is healthcare quality management, not research practice.

GPT-5.6 (high)OUT
genre: empirical
about Canada: no
confidence: high

It studies staff empowerment and clinical governance in hospitals, not research itself.

Grok 4.5OUT
genre: empirical
about Canada: no
confidence: high

Hospital HR empowerment and clinical governance; healthcare management, not metaresearch.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.086
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.9140.892

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 head0.013
GPT teacher head0.274
Teacher spread0.261 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2000
Admission routes1
Has abstractyes

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