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Record W638829153 · doi:10.1017/cbo9781139026321

Social Phobia: An Interpersonal Approach

2014· book· en· W638829153 on OpenAlexaff
Ariel Stravynski

Bibliographic record

Venuenot available
Typebook
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPsychologyHumiliationInterpersonal communicationMechanism (biology)Social anxietyPsychotherapistAnxiety disorderInterpersonal relationshipAnxietyFacet (psychology)Social psychologyPsychiatryEpistemologyPersonality

Abstract

fetched live from OpenAlex

Social phobia is a disorder involving an intense fear of being judged by others and it affects the lives of many people. This book takes a critical stance towards the received view of social phobia as a disease of sorts, characterized by abnormal anxiety and caused by an inner mental or physical defective mechanism. Ariel Stravynski adopts an alternative approach to social phobia – as a purposeful interpersonal pattern protective against public humiliation or private rebuff. In this conception, fearfulness is the emotional facet of the socially phobic interpersonal pattern, rather than its driving force. This theoretical framework emphasizing dynamic transactions is articulated in terms of an anthropological psychology and Stravynski argues that social phobia can only be formulated and understood in interpersonal terms. He integrates all available knowledge on social phobia into his proposed framework and exemplifies its application by extending it to the assessment and treatment of the disorder.

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)0.000
metaresearch head score (Gemma)0.000
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: Other
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.002

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 head0.368
Teacher spread0.303 · 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

Citations4
Published2014
Admission routes1
Has abstractyes

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