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Record W4378952147 · doi:10.1521/pdps.2023.51.2.185

The Sound of Silence: Engaging the Quiet Adolescent

2023· article· en· W4378952147 on OpenAlexaff
Alexander H. Sheppe

Bibliographic record

VenuePsychodynamic Psychiatry · 2023
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsColumbia College
Fundersnot available
KeywordsSilencePsychodynamicsPsychologyPsychotherapistNormalization (sociology)Psychodynamic psychotherapy

Abstract

fetched live from OpenAlex

Engaging the silent adolescent is a major psychotherapeutic challenge. This article presents a comprehensive approach to this problem, illustrated with clinical material. This approach emphasizes a careful diagnostic assessment, including an assessment of the patient's level of personality organization and capacities to participate in psychodynamic psychotherapy. Three approaches to the silent teenager are explored in depth: a mostly supportive approach focused on containment of maladaptive behaviors; a psychodynamic approach with supportive elements focused on demonstrating safety through humor, play, normalization, and self-disclosure while exploring the patient's automatic relationship patterns; and a psychodynamic approach using transference-focused psychotherapy for adolescents (TFP-A), aimed at effecting long-lasting changes in the patient's views of self and others and their characteristic ways of managing conflict and stress, with gradual movement from a tendency for controlling, protective silence to vulnerable, cooperative sharing.

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)0.005
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: Other · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.005
Scholarly communication0.0030.003
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.356
Teacher spread0.334 · 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
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

Citations6
Published2023
Admission routes1
Has abstractyes

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