On the relevance of<i>small nations</i>. Religion and politics in S.N. Eisenstadt's multiple modernities paradigm
Bibliographic record
Abstract
Abstract In recent years, the paradigm of multiple modernities has spurred a growing interest in theoretical, empirical and comparative studies. Among these, the relationships between religious traditions and social dynamics have received particular attention. Counter to evolutionary accounts of modernisation processes, Eisenstadt studied the persisting and evolving links between religion, politics and modernity in different national and civilisational settings. Indeed, the collective incidence of culture, of religion and of tradition was placed at the very heart of Eisenstadt's thought – hence the many ‘cultural programs of modernity'. It is the originality of this understanding of societiesinmodernity that we wish to underline and help explain by his interest for small nations and the religio‐political. I first advocate Eisenstadt's version of multiple modernities, highlighting the paradigm's specific knowledge interest. Secondly, we turn our attention to the often ignored importance of ‘Jewish civilisation' in Eisenstadt's thought. In so doing, we underline Israel's ‘smallness' and its characteristics as a ‘small nation'. Lastly, we stress the elective affinity between multiple modernities and small nations in the study of politics and religion. As is the case for small nations, religion constitutes the ‘other half of modernity', too rarely genuinely considered in (large nation) modernists' accounts.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.031 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".