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Record W2159999272 · doi:10.1177/0018726711428819

Context and the social representation of absenteeism: Absence in the popular press and in academic research

2012· article· en· W2159999272 on OpenAlexaff
Eric Patton, Gary Johns

Bibliographic record

VenueHuman Relations · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsConcordia University
Fundersnot available
KeywordsAbsenteeismRepresentation (politics)Context (archaeology)SociologyEvent (particle physics)Content analysisWork (physics)PsychologySocial psychologyPublic relationsEpistemologySocial sciencePolitical scienceHistory

Abstract

fetched live from OpenAlex

This study explores contextual issues surrounding absenteeism through a content analysis of 2847 articles from the New York Times that have featured absence from work. Our analysis focuses on two issues related to context. First, how does the representation of absence from work compare between the contextual domains of academic research and of the popular press? Second, how can event-specific news stories in the press deepen our understanding of how absence is shaped by contextual factors? Our results highlight both similarities and differences between the press and academic research, suggest several ideas from news stories that could lead to interesting future research, and underline management implications from this source commonly read by business leaders.

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)0.004
metaresearch head score (Gemma)0.030
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.030
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0090.007
Science and technology studies0.0030.005
Scholarly communication0.0060.005
Open science0.0010.004
Research integrity0.0010.001
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 head0.127
GPT teacher head0.390
Teacher spread0.263 · 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 designQualitative
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

Citations30
Published2012
Admission routes1
Has abstractyes

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