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Record W1556971411

A identidade como fator de imunidade psicológica: contribuições da clínica intercultural perante as situações de violência extrema

2009· article· pt· W1556971411 on OpenAlexaffabout
Lucienne Martins Borges, Jean-Bernard Pocreau

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2009
Typearticle
Languagept
FieldHealth Professions
TopicInterpreting and Communication in Healthcare
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesObject (grammar)PhilosophyPsychology
DOInot available

Abstract

fetched live from OpenAlex

Both the theoretical corpus of intercultural clinical psychology (ethnopsychiatry) and its clinical practice have identified certain analogies between torture and terrorism, particularly in the action dynamic and in certain effects such as traumatism. And yet, at the Sapsir (Service d’Aide Psychologique Spécialisée aux Immigrants et Réfugiés at Université Laval, Canada) refugees and torture victims often do not show the expected symptoms of exposure to extreme situations. The case study related in this paper, show that important variables appear to be a strong attachment to a cultural identity and an active sense of belonging to the reference group. These cultural elements favour the psychological protection of the individual and maintain an internal sense of security by placing the individual in a rich, meaningful cultural universe, and giving him the status of an active subject rather than a passive victim.

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)0.004
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0110.021
Scholarly communication0.0090.004
Open science0.0020.009
Research integrity0.0020.003
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 head0.042
GPT teacher head0.339
Teacher spread0.297 · 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 designQualitative
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

Citations2
Published2009
Admission routes2
Has abstractyes

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