Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The notion of mutual aid, which Peter Kropotkin introduced in the 19th century, goes against the logic of competition as a natural condition, and instead shows how mutual aid is a more important factor to consider for the survival and flourishing of a group. The best cooperation strategies allow organisms to adapt to different types of changes in their environment-and we have witnessed a lot of these changes since the start of the COVID-19 pandemic. This propensity towards cooperation is not a foreign concept, despite how it seems to be overshadowed by individualism in Western societies. These reflections then lead us to believe it is possible to apply the anarchist philosophical principle of mutual aid to our social organizations, rather than giving priority, again and again, to competition and professional hierarchies, especially in healthcare systems, and particularly in hospitals were the majority of nurses work. For us, anarchist philosophical precepts, including but not limited to mutual aid, can be the key to a more adequate functioning of healthcare institutions. Anarchism can help to imagine the first steps needed to take to gradually move away from ideologies that encourage competition, professional hierarchies, and illegitimate authority. In this paper, we will first explore some anarchist philosophical precepts before turning to mutual aid as it is currently conceptualised, then highlight several concrete ways it is visible in nursing, as well as ways it can be applied in hospitals, and healthcare systems.
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.
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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it