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Record W2178052057 · doi:10.1521/pdps.2015.43.3.349

Assessing Psychodynamic Conflict

2015· review· en· W2178052057 on OpenAlexaff
Joshua Simmonds, Prometheas Constantinides, J. Christopher Perry, Martin Drapeau, Amanda R. Sheptycki

Bibliographic record

VenuePsychodynamic Psychiatry · 2015
Typereview
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsMcGill UniversityJewish General HospitalInstitut universitaire en santé mentale de Montréal
Fundersnot available
KeywordsPsychologyPsychodynamicsReliability (semiconductor)Conflict resolutionPsychicRating scaleInter-rater reliabilityValiditySocial psychologyPsychometricsPsychotherapistClinical psychologyDevelopmental psychologyMedicine

Abstract

fetched live from OpenAlex

Psychodynamic psychotherapies suggest that symptomatic relief is provided, in part, with the resolution of psychic conflicts. Clinical researchers have used innovative methods to investigate such phenomenon. This article aims to review the literature on quantitative psychodynamic conflict rating scales. An electronic search of the literature was conducted to retrieve quantitative observer-rated scales used to assess conflict noting each measure's theoretical model, information source, and training and clinical experience required. Scales were also examined for levels of reliability and validity. Five quantitative observer-rated conflict scales were identified. Reliability varied from poor to excellent with each measure demonstrating good validity. However a small number of studies and limited links to current conflict theory suggest further clinical research is needed.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.833
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0030.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.005

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 head0.141
GPT teacher head0.506
Teacher spread0.365 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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

Citations5
Published2015
Admission routes1
Has abstractyes

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