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Record W2014854957 · doi:10.12735/jotr.v2i1p41

A Study on the Relationship between Work-Family Conflicts and the Job Satisfaction of Tour Leaders

2015· article· en· W2014854957 on OpenAlexvenueno aff
Wei‐Rong Lin, Hung-Ming Chen, Chi-Kuo Sun

Bibliographic record

VenueJournal of Tourism and Recreation · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsJob satisfactionWork–family conflictWork (physics)PsychologySocial psychologyJob attitudeManagementApplied psychologyJob performanceEngineeringMechanical engineeringEconomics

Abstract

fetched live from OpenAlex

Many tour leaders have to work and bear family responsibilities at the same time. With limited time and effort, a question of concern is whether they have work-family conflict. Therefore, this study aims to explore the relationships between work-family conflict and the job satisfaction of tour leaders. A self-administered questionnaire was designed to collect empirical data from tour leaders, and 233 valid questionnaires were collected. The study results indicate that when tour leaders ’ work interferes with their family life, it has no impact on their job satisfaction. On the contrary, when the tour leaders ’ family life interferes with their work, it has a negative impact on their job satisfaction. Finally, the study discusses managerial implications and research limitations, and proposes suggestions for future studies.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.163
GPT teacher head0.349
Teacher spread0.187 · 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

Citations7
Published2015
Admission routes1
Has abstractyes

Explore more

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