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Record W3085356867 · doi:10.5430/jms.v11n3p28

Probing the Existence, Credibility and Implementation of Occupational Health and Safety Practices in Paramilitary Organisations in Nigeria

2020· article· en· W3085356867 on OpenAlexvenueno aff
Anikwe S Obinna

Bibliographic record

VenueJournal of Management and Strategy · 2020
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsnot available
Fundersnot available
KeywordsCredibilityOccupational safety and healthEnforcementBusinessWork (physics)WelfareEffective safety trainingEnvironmental healthPublic relationsOccupational health nursingHealth policyMedicineNursingPublic healthPolitical scienceEngineering

Abstract

fetched live from OpenAlex

Occupational Health and Safety Management is an area that is concerned with ensuring the safety, health and welfare of people engaged in work. Workers in paramilitary organisations in Nigeria are much more likely than their counterparts in other agencies to be exposed to poor working environments, health and environmental hazards. To this end, the need to assess the level of implementation and problems of health and safety practices in paramilitary organisations in Nigeria becomes very paramount. The major objective of this study was to the assess occupational health and safety policies and programmes in paramilitary organisations in Nigeria. The study observed that the strategic problems of occupational health and safety in these organisations are ineffective monitoring and enforcement of occupational health and safety policies and inadequate budgetary allocation. The study recommended that adequate budgetary provision should be encouraged and officers should be adequately trained to enable them take proactive measures.

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)0.003
metaresearch head score (Gemma)0.000
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: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.187

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.188
GPT teacher head0.505
Teacher spread0.317 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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