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Record W2783171229 · doi:10.1192/s1749367600007359

Establishing a mental health system in the Occupied Palestinian Territories

2005· article· en· W2783171229 on OpenAlexaff
Rita Giacaman, Neil Arya, Derek Summerfield

Bibliographic record

VenueInternational Psychiatry · 2005
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsMcMaster University
Fundersnot available
KeywordsAcknowledgementMental healthPsychological resiliencePoliticsPolitical sciencePsychological interventionIdentity (music)Everyday lifeCriminologySociologyPolitical economyPsychologyLawSocial psychologyPsychiatryAesthetics

Abstract

fetched live from OpenAlex

What is 'mental health' during the societal crisis and upheaval occasioned by war? Perhaps the primary psychological effect of war on victims generally is through their witnessing the destruction of a social world embodying their history, identity, values and roles of everyday life. Such suffering has largely to be resolved collectively, in this same social world, albeit one which has been intentionally weakened. Thus, as the World Health Organization and other authorities confirm, the major thrust of humanitarian interventions must be towards the depleted social fabric and its institutions, for herein lie the sources of resilience and capacity for recovery for all (Kawachi & Berkman, 2000). Beyond that, history has shown that social or political reform is the best medicine, and for victims of oppressive violence this means acknowledgement and justice (Summerfield, 2002).

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.030
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.006
Scholarly communication0.0040.002
Open science0.0010.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.018
GPT teacher head0.341
Teacher spread0.323 · 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 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

Citations9
Published2005
Admission routes1
Has abstractyes

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