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Quid pro quo: Fee for services delivered in a psychology training clinic

2000· article· en· W2016311742 on OpenAlexaff
Tim Aubry, John Hunsley, Gordon W. Josephson, Diana Vito

Bibliographic record

VenueJournal of Clinical Psychology · 2000
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPsychologyService (business)Status quoPopulationScale (ratio)Medical educationFamily medicinePsychiatryMedicineBusinessMarketing

Abstract

fetched live from OpenAlex

The present study evaluated the use of a sliding-fee scale at a training clinic for doctoral students in clinical psychology. A chart review of 209 individual therapy clients and a follow-up telephone interview of 87 of these clients were conducted. Results of the chart review revealed a client group of relatively low income, with only a very small number receiving social assistance or a disability pension. The follow-up survey found that the large majority of clients were satisfied with the fees charged. Service use (i.e., frequency and number of sessions), client satisfaction with services, and treatment outcome did not vary with out-of-pocket costs incurred by clients. Overall, findings suggest that training clinics can charge fees without affecting services, although future research needs to examine the extent that fee charging by training clinics may be an obstacle to service access for the poorest segments of the population.

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)0.003
metaresearch head score (Gemma)0.030
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 score0.014
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.030
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0140.002

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 head0.296
GPT teacher head0.573
Teacher spread0.277 · 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

Citations45
Published2000
Admission routes1
Has abstractyes

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