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Record W2904634775 · doi:10.1186/s13034-018-0259-7

The NSSI Family Distress Cascade Theory

2018· article· en· W2904634775 on OpenAlexaff
Lisa Waals, Imke Baetens, Peter Rober, Stephen P. Lewis, Hanna Van Parys, Eveline R. Goethals, Janis Whitlock

Bibliographic record

VenueChild and Adolescent Psychiatry and Mental Health · 2018
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsHypervigilanceDistressShamePsychologyChild and adolescent psychiatryFeelingSocial connectednessPoison controlDevelopmental psychologySuicide preventionForensic psychiatryInjury preventionClinical psychologyPsychiatryPsychotherapistMedicineSocial psychologyMedical emergencyAnxiety

Abstract

fetched live from OpenAlex

Nonsuicidal self-injury (NSSI) is a complex behaviour and occurs most commonly during adolescence. This developmental period is characterized by the drive to establish an equilibrium between personal autonomy and connectedness with primary caregivers. When an adolescent self-injures, caregivers often experience confusion about how to react. Reports of feeling guilt, fear, and shame are common in the wake of learning about a child's self-injury. This cascade of negative feelings and self-appraisals may lead to hypervigilance and increased caregiver efforts to control the child's behaviour. The adolescent may experience this as an intrusion, leading to worse family functioning and increased risk of NSSI. This cascade is not well acknowledged or articulated in current literature. This article remedies this gap by presenting the NSSI Family Distress Cascade.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0010.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.014
GPT teacher head0.309
Teacher spread0.295 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations62
Published2018
Admission routes1
Has abstractyes

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