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Workaholism Components, Job Satisfaction, and Career Progress<sup>1</sup>

2001· article· en· W2045795760 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Applied Social Psychology · 2001
Typearticle
Languageen
FieldPsychology
TopicWorkaholism, burnout, and well-being
Canadian institutionsYork University
Fundersnot available
KeywordsPsychologyJob satisfactionSalarySocial psychologyMultilevel modelDemographicsWork (physics)Perfectionism (psychology)Applied psychologyDemographySociologyStatistics

Abstract

fetched live from OpenAlex

This investigation examined the relationship of workaholism‐related measures to work satisfaction and career‐progress outcomes. A comprehensive research framework was developed based on previous speculation and research findings to guide selection of variables and data analysis. Five blocks of predictor variables were included: individual demographics, work‐situation characteristics, two antecedents of workaholism (one an individual‐level measure of beliefs and fears; the other an organizational‐level measure of perceived support of work‐personal‐life imbalance), three workaholism components identified by Spence and Robbins (1992), and workaholic job behaviors (eg, hours worked, perfectionism). Work outcomes included job and career satisfaction, future career prospects, and salary increases. Hierarchical regression analysis generally indicated relationships between workaholism‐related measures and work outcomes.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.586
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.030
GPT teacher head0.327
Teacher spread0.296 · 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