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Record W1974754559 · doi:10.1108/cdi-04-2013-0040

Investigating suicide as a career response

2014· article· en· W1974754559 on OpenAlexaff
Angus Duff, Chris C.A. Chan

Bibliographic record

VenueCareer Development International · 2014
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsYork UniversityTrent University
Fundersnot available
KeywordsPsychologyOriginalityFeelingQualitative researchCareer developmentValue (mathematics)Social psychologyExploratory researchSociologySocial science

Abstract

fetched live from OpenAlex

Purpose – To empirically consider work and career as potential influences of suicide. Design/methodology/approach – In this qualitative study we conducted in-depth semi-structured interviews with 16 individuals who were survivors (i.e. family members or intimates) of individuals who had committed suicide. Data was analyzed using a grounded theory methodology. Findings – This exploratory study used purposive self-determination as the theoretical framework for analyzing their life histories. Factors of purposive self-determination, including lack of purpose, feeling controlled, experiencing failure, and social exclusion all figured prominently but differentially according to life-stage. Distinct work and career themes for early-career, mid-career and late-career suicides emerged. Early-career suicides were attributed to educational or work-related contexts, leading to a sense of hopelessness. Mid-career suicides emphasized despair based in failure. Finally, an attempt to escape from challenges associated with transitioning roles in retirements emerged as a key theme in late-career suicides. Originality/value – Although suicide has been studied extensively from medical, psychopathological, sociological, anthropological, philosophical and religious perspectives, there is a dearth of research considering why certain individuals choose to end their own lives as a result of work and career related reasons. This study sought to contribute to our understanding of this under-researched phenomenon. Additionally, while extant careers theory and research has considered positive notions of career such as career success or careers as a calling, this work presents an alternate lens, the consideration of career failure and careers as a sentence.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.197
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

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 head0.073
GPT teacher head0.328
Teacher spread0.255 · 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; both teacher heads agree on what is shown here.

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

Citations11
Published2014
Admission routes1
Has abstractyes

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