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Record W2205166008 · doi:10.29173/bsuj281

Rumination and Self-destructive Thoughts in People with Depression

2015· article· en· W2205166008 on OpenAlexaffvenue
Kelsie Moore

Bibliographic record

VenueBehavioural Sciences Undergraduate Journal · 2015
Typearticle
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsMount Royal University
Fundersnot available
KeywordsRuminationPsychologyFeelingDistressThought suppressionDepression (economics)DistractionClinical psychologyPsychotherapistSocial psychologyCognitionPsychiatryCognitive psychology

Abstract

fetched live from OpenAlex

Increasing rates of suicide have peaked interest in how individuals with depression may view their environment differently and have abnormal thought processes compared to non-depressed individuals. In order to explore how depressive thought processes lead to completed suicide, this review of literature looks at research and theoretical explanations of rumination, self-destructive thoughts, and feelings of hopelessness. People with depression are more attentive to both their own and other people’s actions and have a strong desire for control. Rumination prevents effective problem solving and increases the duration of depressive symptoms. Highly self-aware individuals often attend to discrepancies between the real self and who they wish to be, which causes distress and overthinking about negative aspects of problems while neglecting the development of solutions. Suicide is one method of escaping the self when these discrepancies become salient and continual failure also leads to feelings of hopelessness. Positive distraction such as getting involved in hobbies as well as the promotion of optimistic and hopeful thoughts may help depressive ruminators refrain from negative thoughts and may ultimately help prevent suicide.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.027
Threshold uncertainty score0.678

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.056
GPT teacher head0.341
Teacher spread0.285 · 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.

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

Citations7
Published2015
Admission routes2
Has abstractyes

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