Assembling packs: Outreach nurses, disaffiliated persons, and sorcerers
Bibliographic record
Abstract
Nurses working in outreach capacities frequently encounter disaffiliated or 'hard to reach' populations, such as those experiencing homelessness, those who use substances, and those with mental health concerns. Despite best efforts, nurses regularly fail to find meaningful engagement with these populations. Mobilizing the work of Deleuze and Guattari, this paper will critically examine conventional outreach nursing practices as rooted in the royal science of psychiatry, which many 'survivors' of psychiatric interventions reject. The field of Mad Studies offers an understanding of patient resistance to outreach nursing interventions. Delueze and Guattari's concepts of packs and sorcerers provide a framework to envision alternative nursing practices as a form of resistance and creativity, where new alliances may be formed outside the coercive confines of traditional practices. In response to patient resistance, outreach nurses themselves must assemble packs and engage in acts of sorcery.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".