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Record W2130110797 · doi:10.1111/sltb.12025

Multidimensional Future Time Perspective as Moderators of the Relationships between Suicide Motivation, Preparation, and Its Predictors

2013· article· en· W2130110797 on OpenAlex
Jacqueline Chin, Ronald R. Holden

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

VenueSuicide and Life-Threatening Behavior · 2013
Typearticle
Languageen
FieldPsychology
TopicPsychological and Temporal Perspectives Research
Canadian institutionsQueen's University
Fundersnot available
KeywordsPerspective (graphical)Time perspectivePsychologyCognitive psychologyPsychotherapistSocial psychologyComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

The moderating impact of future time perspective (FTP) components on the relationships of hopelessness, depressive symptoms, and psychache with suicide motivation and preparation was investigated. In a sample of first year college students (N = 87) recruited on the basis of elevated suicide ideation and depressive symptoms, future thinking, optimism, and future connectedness attenuated the relationship of suicide motivation with depressive symptoms and hopelessness. Future thinking moderated the impact of depressive symptoms on suicide preparation. No moderating effects were found for psychache. This study demonstrates that FTP may buffer against the worst effects of salient suicide predictors among high-risk students.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score1.000

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 integrity0.0000.001
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 head0.070
GPT teacher head0.357
Teacher spread0.287 · 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