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Record W4379384134 · doi:10.1590/0102.3772e39301.en

Impact of Early Relational Trauma on Psychic Processes: Implications for Treatment of vulnerable Children and Families

2023· article· en· W4379384134 on OpenAlexaff
Didier Drieu, Miguel M. Terradas, Sophie Buisson, Jalal Jerrar-Oulidi, Maeva Moreau, Teresa Rebelo

Bibliographic record

VenuePsicologia Teoria e Pesquisa · 2023
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsUniversité de Sherbrooke
FundersCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsPsychicMultidisciplinary approachExpression (computer science)PsychologyNegativity effectPsychotherapistDevelopmental psychologyMedicineSociologyComputer scienceSocial science

Abstract

fetched live from OpenAlex

ABSTRACT Numerous works and clinical research conducted in various institutions have cast fresh light on the notion of trauma and have contributed to the emergence of the concept of early relational trauma. Early relational trauma is a form of trauma rendered complex by the multiplicity of its sources and its modes of expression. Its main features are often attachment and acting-out disturbances. In families where such trauma occurs, links could sometimes be perverted and form a narcissistic configuration. This mode of functioning, organized around negativity, impacts the plurality of psychic processes and interferes with the treatment approaches of multidisciplinary teams. In order to promote a multifocal approach to care tailored to differences in situations, educational and socio-judicial practitioners.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.064
GPT teacher head0.399
Teacher spread0.335 · 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 designNot applicable
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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