Mutual aid groups, vulnerable and resilient populations, and the life cycle
Bibliographic record
Abstract
1. The Life Model, Oppression, Vulnerability and Resilience, Mutual Aid, and the Mediating Function, by Alex Gitterman & Lawrence Shulman 2. Group Work Method, by Lawrence Shulman 3. Group Formation: Tasks, Methods and Skills, by Alex Gitterman 4. Healing Hearts: A Bereavement Group for Children, by Carolyn Knight 5. When the World No Longer Feels Safe: Helping Children through Mutual Aid, by Maxine Lynn and Danielle Nisivoccia 6. Pre-teens in Double Jeopardy: Supporting Developmental Growth Through a Natural Friendship Group, by Carol Irizarry and Yetta H. Appel 7. Listen to Us!: Young Adolescents in Urban Schools, by Lois Levinsky and Kathleen McAleer 8. Sharing the Hurt: Adolescents in a Residential Setting, by Alice Schaeefer Nadelman 9. No One is Alone: Groups During the Aids Pandemic, by George S. Getzel 10. Persons with AIDS in Substance Abusing Recovery: Managing the Interaction Between the Two, by Lawrence Shulman 11. Sharing Secrets: The Power of Women's Groups for Sexual Abuse Survivors, by Linda Yael Schiller and Bonnie Zimmer 12. From Victim to Survivor: Group Work with Men and Women Who were Sexually Abused, by Carolyn Knight 13. Uncovering Kindness and Respect: Men Who Have Practiced Violence in Intimate Relationships, by Dale Trimble 14. No Place to Go: Homeless Women and Children, by Judith A.B. Lee 15. Families Journey Towards Equilibrium: Children with Developmental Disabilities, by Judith Bloch, Joan Weinstein and Martin Seitz 16. Finding Our Way Back: Parenting Skills for Addictive Parent, by Beatrice R. Plasse 17. Healing Hurts: A Short-term Group for Separated, Widowed, and Divorced Single Parents, by Lawrence Shulman 18. Dealing with the Death of a Group Member: Visually Impaired Elderly in the Community, by Alberta L. Orr 19. The Group as a Source of Hope: Institutionalized Older Persons, by Toby Berman-Rossi 20. Accumulated Risk: Mutual Aid Groups for Elderly Persons with a Mental illness, by Timothy B. Kelly 21. Mutual Aid: A Buffer Against Risk, by Judith A.B. Lee and Carol R. Swenson 22. Contemporary Group Work Practice, by Varsha Pandya
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".