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Record W2140325069 · doi:10.5539/ass.v9n9p1

Role of Journalists’ Gender, Work Experience and Education in Ethical Decision Making

2013· article· en· W2140325069 on OpenAlex
Nafise Esmael Motlagh, Md Salleh Bin Hj Hass, Jusang Bolong, Mohd Nizam Osman

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 · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsnot available
Fundersnot available
KeywordsNewspaperJournalismWork (physics)Public relationsPopulationEthical decisionPsychologyProbability samplingPolitical scienceSocial psychologySociologyLawEngineering

Abstract

fetched live from OpenAlex

This research was conducted to determine the role of journalists’ gender, work experience and education in their ethical decisions in uncertain situations. The instrument used was structured and self-administered questionnaire. This quantitative descriptive study selected 231 full-time Malaysian journalists from five highly-circulated newspapers in April 2011. Non-probability sampling (convenience) was applied to collect the data and to estimate the characteristics of the whole population. The results showed that more than half (51.8%) of the 228 journalists made unfair decisions about seven short presumptive statuses, which were designed based on the Malaysia National Union of Journalists’ codes of ethics. According to this study, neither gender nor journalism education made any difference in journalists’ ethical decisions. The findings also showed the more work experience the journalists had, the more fair decisions they made in uncertain situations.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.727
Threshold uncertainty score0.587

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
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 head0.024
GPT teacher head0.371
Teacher spread0.346 · 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