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Absenteeism among nursing students - fact or fiction?

2002· article· en· W2158801940 on OpenAlexaff
Fiona Timmins, M. Kaliszer

Bibliographic record

VenueJournal of Nursing Management · 2002
Typearticle
Languageen
FieldHealth Professions
TopicHealth, psychology, and well-being
Canadian institutionsTrinity College
Fundersnot available
KeywordsAbsenteeismAttendanceMedicineTurnoverDemographyNursingFamily medicinePsychologySocial psychology

Abstract

fetched live from OpenAlex

This study explores absenteeism patterns and trends among a group of third-year student nurses. A questionnaire was used to elicit information about absence behaviour from 110 students at two hospital sites. Retrospective analysis of attendance records of 70 of these students, covering a period of 123 weeks, was also performed to determine absenteeism trends. The findings of the study reveal that 1567 days were lost because of absenteeism during this period on 1027 episodes. This represents a time lost index, which is the amount of days lost expressed as a percentage of total days available, of 4% among the group. Most absenteeism episodes lasted 3 days or less, with 73% of episodes lasting only 1 day. Absenteeism commencing either on Mondays or Fridays accounted for more than half of the absenteeism episodes in the group. Voluntary absence was a reported feature of this group, which occurred more frequently from lectures than wards. The main reasons cited for absence from both lectures and ward duties were personal and social commitments and stress. Students' views on nursing as a career and responses to factors that may cause stress were examined and revealed an association with reported absence behaviour.

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.808
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.118
GPT teacher head0.497
Teacher spread0.379 · 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 teacher head, not a consensus.

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

Citations49
Published2002
Admission routes1
Has abstractyes

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