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Record W7100350280

ARTICLE

2016· article· en· W7100350280 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicLandslides and related hazards
Canadian institutionsnot available
Fundersnot available
KeywordsPanicChillsVietnameseConceptualizationAnxiety
DOInot available

Abstract

fetched live from OpenAlex

Abstract Surveying 60 Vietnamese patients with either current or past post-traumatic stress disorder, this article aims to phenomenologically char-acterize the syndrome of ‘hit by the wind ’ in a multidimensional manner. This includes determining the patient conceptualization of the disorder, profiling ‘hit by the wind ’ episodes suffered by patients in the previous month, and presenting case vignettes. Eighteen of the 60 patients (30%) suffered at least one episode of ‘hit by the wind ’ in the last month; all 18 patients had at least one episode of ‘hit by the wind ’ in the last month that met panic attack criteria. For the 18 patients, 33 episodes of ‘hit by the wind’ that met panic attack criteria were experienced in the previous month. For these 33 episodes, the most frequently reported DSM-IV panic attack symptoms were chills (100%; 33/33) and dizziness (88%; 29/33). Flashbacks played a role in the ‘hit by the wind ’ episodes for 5 of the 18 patients (28%). In the discussion, a model of how the syndrome of ‘hit by the wind’ Vol 40(3): 342–376[1363–4615(200309)40:3;342–376;035636] Copyright © 2003 McGill University transcultural psychiatry

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.268
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.7320.527

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 head0.004
GPT teacher head0.188
Teacher spread0.184 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2016
Admission routes1
Has abstractyes

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