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Record W3177414602 · doi:10.18438/eblip29821

Occupational Stress and Job Performance Among University Library Professionals of North-East India

2021· article· en· W3177414602 on OpenAlexvenueno aff
Pallabi Devi, Narendra Lahkar

Bibliographic record

VenueEvidence Based Library and Information Practice · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicWorkplace Violence and Bullying
Canadian institutionsnot available
Fundersnot available
KeywordsOccupational stressDescriptive statisticsPopulationPsychologySample (material)Job stressPerceptionApplied psychologyMedical educationMedicineClinical psychologyJob satisfactionSocial psychologyEnvironmental healthStatisticsMathematics

Abstract

fetched live from OpenAlex

Objective – The present study intends to investigate the occupational stress and job performance of university library professionals in North-East India. The main objective of the study is to assess the perceived level of occupational stress among library professionals and to identify any relationship between occupational stress and library professionals’ job performance. The study also aims to study gender differences regarding perceived occupational stress and job performance among library professionals as well as examine the influence of occupational stress on perceived job performance. Methods – Descriptive survey method was used for the study. The sample population consisted of 123 library professionals from different parts of North-East India selected through convenience sampling technique. The survey consisted of a structured questionnaire divided into three sections: demographic information, self-perceived occupational stress, and self-rated job performance. Descriptive and inferential statistical techniques including frequency, mean, standard deviation, t test, correlation co-efficient, and simple linear regression analysis were used to analyze data and interpret results with the help of the statistical package SPSS version 20. Results – The findings of the study established that a majority of library professionals working in university libraries of North-East India perceived a moderate level of occupational stress. It was also determined that male and female library professionals do not differ in their perception of occupational stress (p > 0.05), while a significant mean difference was found between male and female library professionals’ perceptions towards their job performance (p < 0.05). Males scored themselves higher than females in terms of eight indicators of job performance: quality of work performance, ability to handle multiple jobs, communication skills, decision making, problem solving, technical skills, ability to perform competently under pressure, and contribution to the overall development of the library. Regarding the relationship between occupational stress and job performance, the data indicated a significant negative relationship between occupational stress and job performance (r = -0.296, p < 0.01). In addition to this, intrinsic impoverishment, under participation, low status, and poor peer relationships were some of the factors negatively affecting the job performance of library professionals. Conclusion – The present study provides an insight about how occupational stress affects job performance of library professionals working in academic libraries. The findings revealed that there exists a modest but statistically significant negative relationship between occupational stress and job performance, which implies that an increment in the level of perceived occupational stress tends to influence library professionals’ self-perception of job performance negatively.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.001
Research integrity0.0000.000
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 head0.013
GPT teacher head0.257
Teacher spread0.244 · 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
Published2021
Admission routes1
Has abstractyes

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