Sociotherapy in the Time of COVID-19: A Critical Position Paper on the Importance of Sociology
Bibliographic record
Abstract
This paper contends that sociotherapy, a sociologically informed approach to therapy, is a viable alternative to the diagnostic model recognized by the College of Registered Psychotherapists in Ontario (CRPO). The Psychotherapy Act (2007) along with the Regulated Health Professions Act (1991) gives the CRPO authorization to regulate the practice of psychotherapy and to control titles affiliated with the act of psychotherapy. I offer a discussion of sociotherapy and socioanalysis as clinical alternatives to the conservative and normalizing approaches endorsed by the College. I situate sociotherapy and socioanalysis in the discipline of sociology and in relation to Freudian psychoanalysis. I offer my own sociotherapeutic practice as an illustration of how the societal and the psychological, the social, and the psychic must be engaged in concert. I underscore the importance of dialogue, as opposed to diagnostics, interpretation as opposed to assessments and psychosocial contemplation as opposed to cognitive-behavioral treatment in clinical practice.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | low |
| gpt | no category Domain: not available · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | low |
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 | 0.015 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.023 | 0.104 |
| Scholarly communication | 0.013 | 0.014 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.008 | 0.012 |
| Insufficient payload (model declined to judge) | 0.003 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".