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Record W4296788672 · doi:10.18438/eblip30153

The Effects of Counterproductive Workplace Behaviors on Academic LIS Professionals’ Health and Well-Being

2022· article· en· W4296788672 on OpenAlexvenueno aff
Christy Fic, Maggie Albro

Bibliographic record

VenueEvidence Based Library and Information Practice · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicWorkplace Violence and Bullying
Canadian institutionsnot available
Fundersnot available
KeywordsLikert scaleMental healthContext (archaeology)PsychologyDemographicsCounterproductive work behaviorBurnoutSocial psychologyMedicineClinical psychologyDemographyPsychiatryOrganizational commitmentSociologyDevelopmental psychologyOrganizational citizenship behavior

Abstract

fetched live from OpenAlex

Objective – This study seeks to investigate the degree of counterproductive workplace behaviors (CWB) experienced by library and information science (LIS) professionals and how these behaviors contribute to physical, mental, and chronic health outcomes. While health outcomes may be present independent of CWB, this study seeks to explore the relationship between the two to provide context to the growing incidence of burnout among academic LIS professionals. Methods – This quantitative study analyzed 327 responses to a survey about colleague behavior and health sent to LIS professionals through library community electronic mailing lists. The survey contained demographic questions, questions about CWB, questions about health experiences, and questions about the perceived relationship between work and health. Counterproductive workplace behaviors were rated on a seven-point Likert scale. A behavior score was calculated by adding the Likert values of the 12 behavior questions. This score was used when comparisons about CWB were compared by demographics and health responses. Statistical analysis of survey results was performed using RStudio. Results – The mean total behavior score was 39. 107 respondents’ total behavior scores fell in the low range, 202 in the moderate range, and 18 in the high range. There was no significant relationship found between demographic factors and behavior score. A negative relationship was observed between duration of employment in an academic library and presence of mental health issues (F(5, 310) = 10.114, p = 5.5e-09). A similar relationship was observed between duration of employment in the respondents’ current library and presence of mental health issues (F(5, 311) = 9.748, p = 1.15e-08). Level of CWB experienced was found to have a relationship with the perceived ability to maintain good mental (F(2, 324) = 36.34, p = 5.75e-15), physical (F(2, 324) = 23.82, p = 2.24e-10), and chronic health (F(2, 323) = 13.04, p = 3.57e-06). Generally speaking, lower levels of CWB were associated with fewer challenges maintaining health. Conclusion – Low to moderate levels of CWB are common in academic libraries. These behavior levels are associated with an increase in health challenges. LIS professionals perceive work as being a factor that contributes to having trouble maintaining good mental and physical health and toward successfully managing chronic health conditions. Further study is needed to determine the degree to which experiencing CWB in the workplace affects health. Further study is also needed to determine if certain behaviors impact health outcomes more than others.

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)0.003
metaresearch head score (Gemma)0.009
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 score0.003
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.008
GPT teacher head0.308
Teacher spread0.300 · 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

Citations5
Published2022
Admission routes1
Has abstractyes

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