Partnership in care: Organic systems framework strategies for patients and care providers
Bibliographic record
Abstract
The organic systems framework is a conceptual social sciences theoretical framework developed by renowned author Barry Oshry. Oshry outlines how we are often blind to the context we are in and our reactions to those conditions, which leads to certain experiences. This article emanates from the author's reflections on bringing organic systems insights to groups and organizations worldwide and how such strategies in relational systems may apply to patients and care providers working together in partnership. As patients and care providers engage in such partnerships, they enter distinctly different contexts, each with unique challenges and opportunities. Written from a first-person perspective, the author moves beyond seeing the patient as a client in the healthcare system and into the possibilities of how patients and providers can work together across contexts to create and sustain meaningful care-based partnerships.
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
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 | 0.039 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.019 | 0.051 |
| Scholarly communication | 0.023 | 0.017 |
| Open science | 0.004 | 0.033 |
| Research integrity | 0.008 | 0.009 |
| Insufficient payload (model declined to judge) | 0.012 | 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".