Bibliographic record
Abstract
Introduction: Frances F. Kaplan, Marylhurst University, Marylhurst, OR. Part I. Expanding the Therapeutic Role. 1. Art Therapy as a Tool for Social Change: A Conceptual Model. Dan Hocoy, Pacifica Graduate Institute, Carpinteria, CA. 2.The Art Therapist as Social Activist: Reflections on a Life. Maxine Borowsky Junge, Loyola Marymount University, Los Angeles, CA. Part II. Acting and Reflecting on the Action. 3.Facing Homelessness: A Community Mask Making Project. Pat B. Allen, School of the Art Institute of Chicago, Chicago, IL. 4.Wielding the Shield: The Art Therapist as Conscious Witness in the Realm of Social Action. Pat B. Allen. Part III. Resolving Conflict. 5.Art and Conflict Resolution. Frances F. Kaplan. 6. Drawing Out Conflict. Anndy Wiselogle, East Metro Meditation of the City of Gresham, Gresham, OR. Part IV. Confronting Anger and Aggression. 7.Anger Management Art Therapy for Clients in the Mental Health System. Marian Liebmann, Inner City Mental Health Service, Bristol, UK. 8. Symbolic Interactionism, Aggression, and Art Therapy. David Gussak, Florida State University, Tallahassee, FL. 9.The Paper People Project on Gun Violence. Rachel Citron O'Rourke, Portland, OR. Part V. Healing Trauma. 10. Some Personal and Clinical Thoughts About Trauma, Art, and World Events. Annette Shore, Marylhurst University, Marylhurst, OR 11. Artmaking as a Response to Terrorism. Rachel Lev-Weisel, Haifa University, Haifa, Israel and Nancy Slater, Adler School for Professional Psychology, Chicago, IL. Part VI. Building Community. 12. Unity in Diversity: Communal Pluralism in the Art Studio and the Classroom. Michael Franklin, Naropa University, Boulder, CO, Merryl E. Rothaus,Naropa University, Boulder, CA and Kendra Schpok, Mount Saint Vincent Home,Denver, CO. 13. Art and Community Building from the Puppet- and Mask Maker's Perspective. Lani Gerity, Prospect, Nova Scotia, Canada and Edward Ned Albert Bear, Fredericton, New Brunswick, Canada. 14. Art Therapy for this Multicultural World Susan Berkowitz, Founder, All People's Day(R), Lake Hiawatha, NJ. The Contributors. Subject Index. Author Index.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.105 | 0.019 |
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".