Challenging Conversations: Deepening Personal and Professional Commitment to Culture-Infused and Socially Just Counseling Practices
Bibliographic record
Abstract
This in-depth examination of the place of social justice in counseling concludes that issues of social justice can only be grasped by turning the mirror on one’s own social location. The authors describe the dawning realization of social inequities experienced by many practitioners as they deepen exploration of their own privilege. The barriers to social justice are not solely located in external contingencies that provide the backdrop to counseling and psychotherapy conversations; social justice and injustice are also played out through the often unacknowledged power differentials between practitioners and the persons they serve. Drawing on examples from their personal experience and from graduate students in counseling and psychotherapy, the authors illustrate how these inequities operate in a number of contexts. The chapter concludes with the observation that the enactment of social justice entails relinquishing the privileging of our own perspectives, a rigorous and sometimes painful self-examination, en route to socially just practice.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".