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Record W3215136747 · doi:10.15353/jirr.v4.1709

Distinguishing Between Suicidality and Mental Illness

2021· article· en· W3215136747 on OpenAlexaffvenue
Elle Beck Klassen

Bibliographic record

VenueJournal of integrative research & reflection · 2021
Typearticle
Languageen
FieldPsychology
TopicHistorical Psychiatry and Medical Practices
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMental illnessPhenomenonPsychologyIndigenousPerceptionVariety (cybernetics)Mental healthPsychiatryEpistemologyNeuroscience

Abstract

fetched live from OpenAlex

This paper utilizes various different cultural and historical contexts to investigate the modern Western perception of the relationship between mental illness and suicidality. The author first breaks down the nuances and assumptions inherent to the “mental illness” concept, and then uses these complexities to demonstrate that conceptions of suicidality are unjustifiably narrow. Through the examination of modern and historical Japanese, Chinese, Indigenous, and other worldviews, the author demonstrates the plethora of interpretations of human suicidality, and then regards these in light of the previously established fluid idea of mental illness. The paper concludes that suicidality is not inherent or automatic evidence of mental illness, but rather, a nuanced phenomenon that can be indicative of a variety of mental states. As a result, the author encourages a stronger basis in lived experience for suicidality prevention measures.

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)0.004
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.683
Threshold uncertainty score0.796

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.141
GPT teacher head0.518
Teacher spread0.377 · 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 designNot applicable
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

Citations1
Published2021
Admission routes2
Has abstractyes

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