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Record W4317935459 · doi:10.52380/ijpes.2023.10.1.952

Mumbling as a Potential Marker of Posttraumatic Distress

2023· article· en· W4317935459 on OpenAlexaboutno aff
Timothy K. Daugherty, Alexander J. Mannebach

Bibliographic record

VenueInternational Journal of Psychology and Educational Studies · 2023
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaDistressFeelingClinical psychologyPsychologyAnxietySexual abuseToronto Alexithymia ScaleBeck Anxiety InventoryEmotional distressPsychiatryPoison controlInjury preventionMedicineBeck Depression InventoryMedical emergencySocial psychology

Abstract

fetched live from OpenAlex

This study sought to examine whether mumbling might, for some youths, arise among traumatic sequelae. College students provided retrospective reports of mumbling and completed standardized measures of trauma history and posttraumatic distress (Brief Trauma Questionnaire, Beck Anxiety Inventory for Primary Care, Toronto Alexithymia Scale, and the Brief Fear of Negative Evaluation Scale). Mumbling was associated with a higher likelihood of sexual abuse but not other forms of trauma. Several measures of distress were significantly elevated for those who reported mumbling (Fear of Negative Evaluation, Difficulty Identifying Feelings, Difficulty Describing Feelings, and Anxiety – with the first two accounting for significant specific variance). Findings suggest that mumbling in young people could be a sign that encourages screening for sexual trauma 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.

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)0.001
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 score0.192
Threshold uncertainty score0.306

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.173
GPT teacher head0.593
Teacher spread0.420 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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