Bibliographic record
Abstract
I examined the experiences of 27 individuals who frequented a homeless shelter in Toronto, Canada. Participants' personal accounts led to cumulative understandings of the exclusionary practices that are often perpetuated by institutional organizations. Many individuals perceived themselves as "pushed out" or excluded by the structures of health care services that purported to support and serve them. However, individuals were also perceived as active agents in a complex, mutual form of exclusion, referred to as "mutually established exclusion," in which they chose to drop out or remove themselves from institutional mainstream services. Individuals who had chosen not to seek reissuance of their health cards either implicitly or explicitly self-excluded from participation in services that might be seen to regulate, control, and thereby subordinate their interests to those of the dominant institution. I ask, How are institutional health policies evidenced in the everyday, material lives of people? Are such policies exclusionary?
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 | 0.012 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.032 | 0.066 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.004 | 0.015 |
| Research integrity | 0.003 | 0.005 |
| 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, 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".