Subjectivity through the lens of Guattari: A key concept for nursing
Bibliographic record
Abstract
Félix Guattari, a French philosopher and psychotherapist often recognized for his collaboration with Gilles Deleuze, also published important work of his own. The way he conceptualizes subjectivity and schizoanalysis (later developed into institutional analysis) can incite us to interpret our social contexts differently and to help frame an emancipatory path in nursing. At La Borde, a psychiatric clinic, subjectivity was seen as the real power that lies within the institutions; invisible and flowing through all levels of the hierarchal structure-like waves-each of them unique but still part of the same ocean. Even with its elusive character, this concept can be wielded through psychotherapeutic techniques of analysis which aim to reduce hierarchies, encourage collaborations, decentralize levers of power and promote initiatives that arise from the base. These concepts deserve further exploration when it comes to modern institutional issues like the ones present in Quebec's (Canada) healthcare system. Therefore, this article borrows theorizations elaborated through psychotherapy and applies them to the hospital institution which is seen as an organized, stable structure (the molar line), while paying attention to fluid, changing processes and the multiplicity of desires for transformation (the molecular line), to promote nursing movements that escape and abolish these structures, creating new possibilities and new forms of thinking (the line of flight).
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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 | 0.011 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.009 | 0.098 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 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".