Subversive mythical figures and feminist resistance: On the rise of posthuman ‘professionals’
Bibliographic record
Abstract
Within the context of neoliberal healthcare, nurses and other health professionals face working conditions that leave them perpetually feeling inadequate, as though they are not enough. They are consistently expected to achieve more with less resources. In such an environment, mere professionalism proves wholly insufficient, enforcing norms of altruism and kindness. Professionals must transcend this disciplinary tool and embody a 'more-than-professional' approach. This study, informed by critical posthumanism, employs three mythical archetypes-the Medusa, the Witch and the Siren-to illuminate potential avenues for resistance against prevailing trends in healthcare. Drawing on the perspectives of Hélène Cixous, Silvia Federici and Jacques Rancière, we introduce a process of resistance for healthcare professionals pushing back against the challenges of crumbling healthcare systems. Cixous' feminist reimagining of Medusa symbolizes intensified embodied sensory experiences, emphasizing the power of irony, laughter and writing in highlighting the daily struggles faced by healthcare workers. Federici's depiction of the Witch exposes clandestine alliances among healthcare workers and patients, akin to a pact with the devil, countering the individualistic, alienating approach to care provision and resisting neoliberal pressures. The Witch archetype embodies resistance grounded in creativity against the commodification of public healthcare. Finally, Rancière's 'politics of the Siren' offers a strategy for disrupting entrenched hierarchies from the underworld. Like Sirens, healthcare workers and patients can subversively transform their silence into songs of resistance, simultaneously operating from beneath the surface of accountability measures. Our intention is to showcase the emergence of posthuman 'professionals' who adapt by forging new modes of social relations in response to neoliberal constraints, straying from conventional, apolitical notions of 'professionalism'. Drawing lessons from mythical figures of resistance offers a fresh understanding of subversion as a catalyst for social and political transformation within the healthcare sector.
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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 | 0.012 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.016 | 0.108 |
| Scholarly communication | 0.012 | 0.010 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".