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Record W4316083018 · doi:10.53841/bpscpr.2018.33.1.46

The next generation of Canadian counselling psychologists

2018· article· en· W4316083018 on OpenAlexaffabout
Robinder P. Bedi, Kayla D. Christiani, Julie A. Cohen

Bibliographic record

VenueCounselling Psychology Review · 2018
Typearticle
Languageen
FieldPsychology
TopicCounseling Practices and Supervision
Canadian institutionsUniversity of CalgaryUniversity of British Columbia
Fundersnot available
KeywordsDistancingPsychologyCounselling psychologyHumanismIdentity (music)Humanistic psychologyCounseling psychologyClinical psychologyMedicinePsychotherapistCoronavirus disease 2019 (COVID-19)Political science

Abstract

fetched live from OpenAlex

Objectives: In response to the little information available about the characteristics of counselling psychology students in Canada and their impact on the future of the specialization in Canada, 52 student members of the Canadian Psychological Association’s Section on Counselling Psychology (representing a 26 per cent response rate) were surveyed using an adapted version of a questionnaire to survey counselling psychologists in Canada. Findings: Results indicated that, in most ways, the characteristics of Canadian counselling psychology students resemble those of current counselling psychologists but some differences emerged that point to a future with an increasing female-male practitioner gender gap, more non-heterosexual counselling psychologists, and a slight growth in humanistic/person-centred theories being used. Discussion: The field will likely continue to be characterized by heterosexual female counselling psychologists of European descent, who practice primarily from either a theoretically-integrative standpoint or cognitive-behavioural theory, who intervene largely through individual counselling or psychotherapy, and almost entirely only in the English language. The results of the study are examined with respect to understanding gaps in training, professional identity, and the apparent distancing from the historical roots of the profession. The limitations of the study are noted and avenues for future research are outlined. Some comparisons with the field in other regions of the world, like the UK, are also provided.

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)0.004
metaresearch head score (Gemma)0.005
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: Empirical · Consensus signal: none
Teacher disagreement score0.966
Threshold uncertainty score0.246

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.002
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0180.002

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 head0.297
GPT teacher head0.434
Teacher spread0.137 · 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
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

Citations2
Published2018
Admission routes2
Has abstractyes

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