Social Justice and Counselling Psychology: Situating the Role of Graduate Student Research, Education, and Training
Bibliographic record
Abstract
While social justice advocacy has been a part of counselling psychology since its inception, its role in the field has been debated. Many professionals have called for increased attention to social justice awareness and advocacy to enable the profession to meet the expanding needs of clients. The present article proposes that a move toward prioritizing social-justice issues necessitates the inclusion of graduate students. The authors contend that graduate programming in counselling psychology must provide students with opportunities to engage with the critical discourses of critical psychology, feminism, and multiculturalism in the aim of pursuing social justice-oriented practice and research.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.023 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.027 | 0.062 |
| Scholarly communication | 0.018 | 0.007 |
| Open science | 0.003 | 0.022 |
| Research integrity | 0.010 | 0.010 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".