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Record W3033075888

The business of therapy: examining the process of working in private practice

2016· dissertation· en· W3033075888 on OpenAlexaboutno aff
Melanie Baruch

Bibliographic record

VenueMspace (University of Manitoba) · 2016
Typedissertation
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsProcess (computing)Private practiceProcess managementBusinessMedicineComputer scienceFamily medicine
DOInot available

Abstract

fetched live from OpenAlex

Therapists are continuously entering the private counselling sector, and as a result extending their occupational roles, becoming business owners and evolving in their professional identity. The purpose of this study is to understand the process of establishing a private practice while examining the development of the professional identity of private practice therapists. Specifically, the decision to enter private practice, the process of opening a business, and ethical and supervisory concerns within this field. Using systematic grounded theory, 10 female counsellors in private practice in Manitoba were interviewed. This inquiry led to the development of Professional Development in Private Practice: A Phase Model, providing an overview of therapists’ professional development in their roles as private practitioners. The five phases are seeking autonomy, logistics, transition and attitude, embracing the business and authenticity. The implications of this study are multi-faceted, influencing institutions, professional groups and therapists.

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)0.013
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.021
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0140.022
Scholarly communication0.0110.008
Open science0.0020.006
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0020.001

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 head0.040
GPT teacher head0.303
Teacher spread0.263 · 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 designQualitative
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

Citations0
Published2016
Admission routes1
Has abstractyes

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