Bibliographic record
Abstract
Narratives of hope are omnipresent in democratic life, but what can they tell us about the structure and orientation of politics? While common, they are often reduced to an all-compassing understanding that overlooks hope's various forms and implications. Democratic theory, however, lacks the theoretical language to attend to these distinctions. The aim of this essay is thus to define a collective and political account of hope and recover the normative basis of a democratic theory of hope. Drawing on the literature on hope and juxtaposing it with extracts from Harvey Milk's ‘The Hope Speech,’ I first distinguish its collective experience before turning to Hannah Arendt. While Arendt rejects a politics of hope that turns away from the world, exploring how she thinks with and against hope provides a theoretically fruitful approach that elevates the in-betweenness of its worldly expression. From that standpoint, I relate the work and experience of hoping with others to her notions of natality, action and promises. These three conceptual touchstones provide the normative basis of a democratic theory of hope and help situate a collective sense of possibility inherent in democratic politics.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.050 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 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".