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Record W2094378893 · doi:10.1027/0227-5910/a000259

Shadows From the Past

2014· article· en· W2094378893 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCrisis · 2014
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsFeelingMeaning (existential)Thematic analysisDistressPsychologyMental healthQualitative researchTheme (computing)WishLived experienceNursingPsychotherapistSocial psychologyMedicineSociology

Abstract

fetched live from OpenAlex

BACKGROUND: Most depressed older people in a suicidal state have mixed feelings, where the wish to live and the wish to die wage a battle. AIMS: To explore and describe depressed older people's experiences of being suicidal and their search for meaning. METHOD: Data were collected from 29 participants resident in the Rogaland and Vestfold districts of Norway, by means of individual interviews, after which a thematic analysis was performed. RESULTS: For the participants in this study, the lived experiences of the situated meaning of survival after being suicidal comprised a main theme - "shadows from the past" - and two themes - "feeling that something inside is broken" and "a struggle to catch the light." CONCLUSION: Mental health-care professionals might be able to reduce the risk of suicide and perturbation by helping depressed older people to explore, resolve, and ultimately come to terms with their unresolved historical issues. Additional valuable strategies in primary care settings include encountering patients frequently, monitoring adherence to care plans, and providing support to address the source of emotional pain and distress.

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.

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)0.000
metaresearch head score (Gemma)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.445
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0020.003

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 head0.034
GPT teacher head0.306
Teacher spread0.272 · 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