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Record W1989028176 · doi:10.1002/cpp.564

Danger—early maladaptive schemas at work!: the role of early maladaptive schemas in career choice and the development of occupational stress in health workers

2008· article· en· W1989028176 on OpenAlexfundno aff
MARTIN BAMBER, Rachel McMahon

Bibliographic record

VenueClinical Psychology & Psychotherapy · 2008
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsnot available
FundersYork UniversityTeesside University
KeywordsSchema (genetic algorithms)Occupational stressPsychologyCoping (psychology)Health careClinical psychologyEmpirical research

Abstract

fetched live from OpenAlex

The schema-focused model of occupational stress and work dysfunctions (Bamber & Price, 2006; Bamber, 2006) hypothesizes that individuals with EMS (unconsciously) gravitate toward occupations with similar dynamics and structures to the toxic early environments and relationships that created them. They subsequently re-enact these EMS and their associated maladaptive coping styles in the workplace. For most individuals, this results in 'schema healing', but for some individuals with more rigid and severe EMS, schema healing is not achieved and the structures and relationships of the workplace, together with the utilization of maladaptive coping styles, serve to perpetuate their EMS. The model hypothesizes that it is these individuals who are most vulnerable to developing occupational stress syndromesTo date, this model has been subjected to very little empirical investigation, so the main aim of this study was to address this gap in the literature by testing out some of its main assumptions and to provide empirical data, which would either support or reject the model using a population of health workers. Specifically, it was hypothesized that 'occupation-specific' EMS would be found in health workers from a range of different healthcare professions. It was also hypothesized that the presence of higher levels of EMS would be predictive of raised levels of occupational stress, psychiatric caseness and increased sickness absence in those individuals.A cross-sectional study design was employed and a total of 249 staff working within a NHS Trust, belonging to one of five occupational groups (medical doctors, nurses, clinical psychologists, IT staff and managers), participated in the study. All participants completed the Young Schema Questionnaire-Short Form (Young, 1998); the Maslach Burnout Inventory-Human Services Form (Maslach & Jackson, 1981), and the General Health Questionnaire-28-item version (Goldberg, 1978). A demographic questionnaire and sickness absence data was also collected. The results of a between groups analysis of variance and further post hoc statistical analyses identified a number of occupation specific EMS. Also, the results of a series of multiple linear regression analyses indicated the presence of some EMS to be predictive of higher levels of burnout, psychiatric caseness and sickness absence in health workers. In conclusion, the findings of this study provide empirical support for the schema-focused model of occupational stress and work dysfunctions (Bamber & Price, 2006; Bamber, 2006), and it appears that the existence of underlying EMS may constitute a predisposing vulnerability factor to developing occupational stress.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.147
GPT teacher head0.438
Teacher spread0.291 · 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

Citations69
Published2008
Admission routes1
Has abstractyes

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