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Record W4221134322 · doi:10.5539/ass.v18n3p12

Working Conditions, Co-Workers, and Leadership Styles Toward Job Satisfaction Among Local Authority Employees

2022· article· en· W4221134322 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAsian Social Science · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEmployee Performance and Management
Canadian institutionsnot available
FundersUniversiti Sains Malaysia
KeywordsJob satisfactionLeadership styleJob performanceAffect (linguistics)Local authorityJob attitudeBusinessPublic relationsPsychologyPolitical scienceSocial psychologyPublic administration

Abstract

fetched live from OpenAlex

The local council management faced some issues on their employees concerning their job satisfaction due to working conditions, co-workers, and leadership styles. Moreover, this affects the employees' job satisfaction which in turn would also affect the local council's progress in serving the public. Thus, the objectives of the study are to unearth the relationship and understand the impact between working conditions, co-workers, and leadership styles on job satisfaction among the local council employees. Self-administered questionnaires were distributed among local council employees. Data analysis was conducted on the 121 useable questionnaires received. This study discovered that working conditions and leadership styles had an impact on the local council employees' job satisfaction. Unfortunately, co-workers had no impact on the local council employees' job satisfaction.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.257
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0070.004
Scholarly communication0.0000.001
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 head0.079
GPT teacher head0.335
Teacher spread0.256 · 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