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Record W2044550133 · doi:10.1080/10673220801933788

Unexplained and Underpowered: The Relationship Between Psychosomatic Disorders and Interpersonal Abuse—A Critical Review

2008· review· en· W2044550133 on OpenAlexaff
Sarah Romans, Marsha M. Cohen

Bibliographic record

VenueHarvard Review of Psychiatry · 2008
Typereview
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsWomen's College Hospital
Fundersnot available
KeywordsPsychologyInterpersonal violenceInterpersonal communicationClinical psychologyPsychiatryPsychotherapistMedicineHuman factors and ergonomicsPoison controlMedical emergencySocial psychology

Abstract

fetched live from OpenAlex

Although it is commonly accepted that interpersonal violence (IntPV) leads to adverse health consequences, the available data are far from decisive. To test the hypothesized link, the authors devised an evidence-based strategy to determine the data quality in studies purporting to link IntPV and some medically unexplained disorders in women (irritable bowel syndrome, chronic pelvic pain, fibromyalgia/chronic fatigue, and other chronic pain syndromes). English language studies with control groups of unaffected women were assessed for the quality of their methodologies. The number of studies, together with the consistency of their findings in each domain, was collated to determine the overall weight of evidence regarding the link for each condition. The quantity and quality of research in each clinical area proved to be sparse. In general, most research was limited to small, convenience samples, with insufficient attention to the design of control groups and to sample size. The evidence currently available regarding irritable bowel syndrome, fibromyalgia/chronic fatigue, chronic pelvic pain, and other chronic pain syndromes does not allow for any firm conclusion regarding their link to IntPV. More research - paying particular regard to the methodological concerns identified here - is required in order to generate any definitive conclusions.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.527
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.064
GPT teacher head0.379
Teacher spread0.315 · 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.

Study designSystematic review
Domainnot available
GenreReview

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

Citations38
Published2008
Admission routes1
Has abstractyes

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