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Record W4327807961 · doi:10.47634/cjcp.v56i2.61719

Feminist Thought and Guidelines for Ethical Psychological Practice With Self-Identifying Women and Girls

2022· article· en· W4327807961 on OpenAlexaffvenueabout
Tiffany Beks, Anusha Kassan, April Dyrda, Daniel Elleker

Bibliographic record

VenueCanadian Journal of Counselling and Psychotherapy · 2022
Typearticle
Languageen
FieldPsychology
TopicCounseling Practices and Supervision
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsConversationPsychologyEthical issuesContext (archaeology)Diversity (politics)PsychotherapistCounselling psychologyEngineering ethicsSociology

Abstract

fetched live from OpenAlex

Several iterations of guidelines for ethical psychological practice with those who self-identify as women and girls have been developed in the field of Canadian psychology and are designed to offer practitioners direction concerning their ethical responsibilities and competencies. But to be responsive to the varied and changing experiences of women and girls within the Canadian context, these guidelines require regular revision. This article discusses avenues for evolving inclusive counselling and psychotherapy practice with women and girls in Canada. While the primary focus is on implications for counselling and psychotherapy practice, the need for ethical texts and guidelines to reflect gender diversity is underscored. Drawing from literature on feminist thought and its applications, this article offers recommendations for ethical and socially just counselling and psychotherapy practice. Additionally, this article is intended to reignite conversation about how future iterations of ethical guidelines may evolve to be more responsive to the current status of those who self-identify as women and girls.

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)0.064
metaresearch head score (Gemma)0.056
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.416
Threshold uncertainty score0.827

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0640.056
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0210.107
Scholarly communication0.0120.006
Open science0.0030.007
Research integrity0.0090.015
Insufficient payload (model declined to judge)0.0030.001

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 head0.076
GPT teacher head0.402
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 designTheoretical or conceptual
Domainnot available
GenreMethods

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
Published2022
Admission routes3
Has abstractyes

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Same venueCanadian Journal of Counselling and PsychotherapySame topicCounseling Practices and SupervisionFrench-language works237,207