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Record W2071811735 · doi:10.3928/01484834-20131014-04

Alexithymia and Burnout in Nursing Students

2013· article· en· W2071811735 on OpenAlexaboutno aff
Maria Katsifaraki, Philip Tucker

Bibliographic record

VenueJournal of Nursing Education · 2013
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaBurnoutDepersonalizationPsychologyClinical psychologyBeck Depression InventoryToronto Alexithymia ScaleCoping (psychology)Occupational burnoutEmotional exhaustionPsychiatry

Abstract

fetched live from OpenAlex

Although previous studies have indicated an association between alexithymia and burnout, they have not controlled for well-established organizational factors, depression, and coping mechanisms that could confound the relationship. This study investigated the association between alexithymia and occupational burnout. One hundred eighty-three nursing students were assessed up to 3 months before graduating from their program. Alexithymia was measured with the Toronto Alexithymia Scale, occupational burnout was measured with the Maslach Burnout Inventory, work-related factors were measured with the Areas of Worklife Survey, depression was measured with Beck Depression Inventory-II, and coping strategies were measured with the COPE Dispositional Inventory. Hierarchical multiple regressions indicated that externally oriented thinking style was significantly associated with personal accomplishment and depersonalization after adjusting for depression, coping, and work-related factors. The results indicate that only a single aspect of the alexithymia construct serves as a possibly independent predisposing factor for specific burnout dimensions.

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)0.003
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.017
GPT teacher head0.378
Teacher spread0.361 · 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

Citations41
Published2013
Admission routes1
Has abstractyes

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