The Web of Life: A Reminiscence of a Group Experience with Incarcerated Adolescent Females: Janice Andrews
Bibliographic record
Abstract
As a result of my participation in a course on social group work delivered by Professor Nancy Sullivan at the University of Toronto, I embarked on a journey of discovery of what I have come to consider an integral part of my knowledge base and practice skills repertoire. Intrigued by the practice implications of this specialized area of social work practice, I reflected on my understanding of group work prior to participating in the social group work course. This chapter presents some of my reflections on the “wonders” of group work based on an analysis of a group for abused women that I facilitated in Malta. The first part of the chapter consists of a brief description of the group, including how the group started; group objectives; group structure; group guidelines, and worker’s role. It must be clarified that the group was carried out prior to my participation in the social group work course. The second part focuses on my journey of discovery—a journey I today consider key to my professional development.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.029 | 0.019 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.004 | 0.014 |
| Insufficient payload (model declined to judge) | 0.003 | 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".