Bibliographic record
Abstract
Ernest Gellner's writings on nationalism need to be read in the wider context of his thought as a whole.The key lies in regarding Gellner as a thinker who was interested in the possibility of understanding particularist sentiments and collectivist political loyalties which radically differed from his own individualistic cosmopolitan worldview.A richer interpretation of Gellner's life and thought emerges from this insight than from more superficial understandings of Gellner as a functionalist or a rationalist.Sociological Review, 2001, Vol. 9 (No.2: 183-199) What makes a thinker significant, among other things, is that his work possesses some measure of unity, and that it contains some central ideas which pervade and inspire the corpus as a whole. CzechErnest Gellner [1985: 14] Ernest Gellner is today best known for his work on nationalism. 1 Gellner's attempt to develop a general theory of nationalism has been criticised for many different (and sometimes tautological) reasons: the theory is too general, too Eurocentric, too a-historical, too functionalist, too economically determinist, too reductionist in its emphasis on the cultural homogeneity required by industrial society. 2 Even sympathetic interpreters of Gellner's ideas admit that "Gellner's theory is not a truly universal one" since it does not succeed in explaining specific cases of pre-industrial nationalism [Hall 1995: 12].This essay does not seek to defend Gellner's explicit theory of nationalism against any of the particular criticisms mentioned above.Such a defence would be presumptuous, redundant (given the size of the Gellner oeuvre: four books and countless articles on the subject), and pointless, given the fact that many of these criticisms of the theory are quite genuinely justified by Gellner's own tendency to speak in Capital Letters, especially in his later writings on nationalism.This essay does, however, claim that Gellner's writings on nationalism need to be read in the wider context of his thought as a whole and that only such a reading does jus-
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.009 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".