Ethical Responsibility - An Arendtian Turn
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
ABSTRACT: This article contends that Hannah Arendt’s writing can add value to current discussions on responsible leadership. Specifically, considering responsibility through an Arendtian lens offers insights that deepen our understanding of the interconnections among leadership, responsibility, and ethical action. Turning to Arendt can, therefore, increase our grasp of the complexities of leading responsibly. She shows how acting responsibly requires not only ethical forethought but also a willingness to judge for ourselves. Her emphasis on judgment enriches discussions on responsible leadership, encouraging us to think more deeply about what it might mean to act responsibly, and how such action connects with ethics. Examples of irresponsible action are explored as they concern individual and collective judgment in particular political and corporate contexts. Thus, it is by engaging with the messy realities of everyday life that an Arendtian turn can help us rethink leadership, ethics, and responsibility in new and productive ways.
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 | 0.007 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| 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