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Record W2133573511 · doi:10.1080/14733140312331384253

Explorations of the effectiveness of a voluntary sector psychodynamic counselling service

2003· article· en· W2133573511 on OpenAlexaff
David A. Winter, Ruth Archer, Penny Spearman, Marie E. Costello, Ash Quaite, Chris Metcalfe

Bibliographic record

VenueCounselling and Psychotherapy Research · 2003
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsKensington Health
Fundersnot available
KeywordsDisadvantagedPsychodynamicsPsychologyClinical psychologyService (business)Health servicesNursingMedicinePsychotherapist

Abstract

fetched live from OpenAlex

This paper reports two studies of individual psychodynamic counselling provided by a voluntary sector service. The first study examines evidence of the effectiveness of counselling, as evaluated by the General Health Questionnaire and Personal Opinion Survey. Measures of the process of counselling indicated the improvements that clients attributed to counselling, the changes that occurred during it, and the factors that were most beneficial, as well as the approaches used by counsellors. The second study, using the CORE Outcome Measure and ratings of problem severity, found counselling to be equally effective with disadvantaged and non‐disadvantaged clients, as defined by British Department of Health criteria, but these clients differed somewhat in their perceptions of helpful aspects of counselling. Both studies also indicated predictors of positive outcome of counselling. The studies are used to illustrate some of the methodological issues around research in this area.

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)0.018
metaresearch head score (Gemma)0.051
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.051
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.003
Scholarly communication0.0040.002
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.154
GPT teacher head0.481
Teacher spread0.326 · 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 designObservational
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

Citations8
Published2003
Admission routes1
Has abstractyes

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