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Record W4406630226 · doi:10.62754/joe.v3i8.5955

Field Study: In Health Centers and Hospitals, Infection Control and Awareness of Workers in All Specialties

2024· article· en· W4406630226 on OpenAlexaff
Ahmed A. Al‐Ghamdi, Hawraa Ali Mohammed Aljubran, MANA DHAFIR MOHAMMED ALSHURAYYAN, Ghazi mohammd hassan Al yami, M. A. Abdullah, Yasser Mohammed Al Johani, Nasser Mohammed Alshehri, Saad Ali Sabrah, Mohammad Mani Hussen Alsagoor, Mohammad mahdi hamad Alsharyh, Mohammad Ali Mahdi Alsharyh

Bibliographic record

VenueJournal of Ecohumanism · 2024
Typearticle
Languageen
FieldMedicine
TopicInfection Control in Healthcare
Canadian institutionsInnovation Cluster (Canada)
Fundersnot available
KeywordsInfection controlField (mathematics)MedicineControl (management)Family medicineEnvironmental healthComputer scienceIntensive care medicine

Abstract

fetched live from OpenAlex

This field study worked in hospitals and health centers to activate infection control standards in health facilities, and the importance of applying them to workers in health facilities even after health centers obtained the accreditation certificate for quality standards in health facilities (CPAHI). The questionnaire was created and sent electronically via social media, where 700 social questionnaires were distributed to people aged (23-58 years), men and women in the city Of Riyadh, and responses from 450 people were obtained via Google Drive.it is concluded the rate Of application Of infection control standards is high.

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)0.005
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0050.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.032
GPT teacher head0.360
Teacher spread0.327 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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