My ecological social work journey: climate affect and ecotherapy in direct social work practice
Bibliographic record
Abstract
This document outlines my Master of Social Work field practicum at the University of Saskatchewan Student Wellness Centre, where over the course of five months I provided individual counselling to university students as well as facilitated groups such as climate cafes where students could talk about their feelings related to the climate crisis. My clinical interest in ecological social work is explored through Nature therapy and eco-therapeutic practices that I engaged to support students, and a literature review is included that explores climate affect and implications for direct social work practice in clinical settings. My practice was informed by ecofeminism, post-modernism, and deep ecology, and I present literature that supports a turn towards ecological social work practice and explores the ethical imperatives for this paradigm shift. Finally, this report describes my learning objectives, including practicing and training in various counselling modalities and eco therapy, and it describes my objective to explore my identity as an ecological social worker. I conclude my report with a discussion on the implications for mental health practitioners and the profession of social work, specifically, a call to action for engagement around the problem of climate change at micro, mezzo, and macro levels of practice.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.023 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
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".