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Record W4234375002 · doi:10.1177/0011000020915451

Counselors’ Attitudes Towards Working With Clients With Substance Use Disorders

2020· article· en· W4234375002 on OpenAlexaffabout
Zachary A. D. Cornfield, Anita M. Hubley

Bibliographic record

VenueThe Counseling Psychologist · 2020
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPsychologySituational ethicsAngerFeelingSubstance useClinical psychologyDepression (economics)Social psychology

Abstract

fetched live from OpenAlex

Substance use disorders (SUDs) are a significant and growing problem in all walks of life in Canada and the United States. Counselors are increasingly likely to have clients with SUDs regardless of their area of expertise. There is limited research on counselors’ attitudes towards working with such clients, or the factors that contribute to these attitudes. In an online survey of 263 Canadian counselors, we found attitudes were mostly positive, although statistically significantly less positive than toward working with clients with major depression. Numerous variables showed significant bivariate relationships with attitudes towards working with clients with SUDs, but only more frequent contact with such clients, fewer workplace situational constraints, and less frequent feelings of anger towards such clients remained as significant predictors of more positive attitudes in a regression analysis. Our research highlights the importance of providing more support for counselors to ensure better service to clients with SUDs.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.680

Codex and Gemma teacher scores by category

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

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 head0.094
GPT teacher head0.310
Teacher spread0.216 · 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 teacher head, 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

Citations9
Published2020
Admission routes2
Has abstractyes

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