Social acceleration, alienation, and resonance: Hartmut Rosa's writings applied to nursing
Bibliographic record
Abstract
This article aims to present the life and work of German thinker Hartmut Rosa as a philosopher of interest for nursing. Although his theoretical framework remains fairly unknown in the nursing domain, its main key concepts open up a philosophical and sociological approach that can contribute to the understanding of a wide range of study phenomena related to nurses, nursing, and healthcare. The concepts of social acceleration, alienation, and resonance are useful to explore healthcare organizations' performance by bringing the time dimension of modernity to the center; to grasp nurses' experiences of caring for patients; and to understand nurses as agents endowed with the capacity to deploy their political agency to create alternative forms of relationship to themselves, to others, and the world, challenging the institutional order of healthcare organizations when it fails to resonate with their professional ethos. In this article, we propose Hartmut Rosa's theoretical framework as a new and inspiring phenomenological and critical lens that should be further explored to advance knowledge concerning phenomena that are found at the crossroads of the nursing domain and other fields of knowledge.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.031 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.001 | 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".