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Record W2146448200 · doi:10.1111/ijsa.12048

Procrastination's Impact in the Workplace and the Workplace's Impact on Procrastination

2013· article· en· W2146448200 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

VenueInternational Journal of Selection and Assessment · 2013
Typearticle
Languageen
FieldPsychology
TopicPerfectionism, Procrastination, Anxiety Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsProcrastinationPsychologySocial psychologyWork (physics)Demographic economicsDevelopmental psychologyEconomics

Abstract

fetched live from OpenAlex

Procrastination is a self‐regulatory failure, whose costs are debated. Here, we establish its impact in the workplace. Using an Internet sample, we assessed 22,053 individuals in terms of their sex, employment status, employment duration, income, occupational attainment and level of procrastination. High levels of procrastination is associated with lower salaries, shorter durations of employment, and a greater likelihood of being unemployed or under employed rather than working full‐time. Also, procrastination partially mediates sex's relationship with these work variables. Women tend to procrastinate less than men, evidently giving women an employment advantage. If women procrastinated the same as men, there should be 1.5 million fewer women in full‐time employment in the US . alone. Determining the causes of procrastination in the workplace, we also examined it at an occupational level. The results strongly support the gravitational hypothesis: jobs that require higher levels of motivational skills are less likely to retain procrastinators. However, there was some support that jobs can foster procrastination. Procrastinators tend to have jobs that are lower in intrinsically rewarding qualities.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.292
Threshold uncertainty score0.434

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.013
GPT teacher head0.368
Teacher spread0.356 · 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