Cataluña-Quebec. Nacionalismo, sociedad civil y cultura popular en el siglo XX
Bibliographic record
Abstract
This PhD thesis contributes to the study of neo-nationalism and nationalization by the proposal of a theoretical proposal that is enriched in the comparative analysis of two concrete cases. Although these complex phenomena involve many different factors, this thesis focuses on the connections between civil society, popular culture and nationalism. In the first section, the existing works on the topic are considered. The objective is to propose a theoretical framework that enriches the perspective from ‘above’, focused mainly on the political aspects, by incorporating aspects from ‘below’ and the cultural elements of nationalism. The second section presents two case studies: Quebec (Canada) and Catalonia (Spain). Documents, primary and secondary sources, and in-depth interviews are used to observe the connections between civil society, popular culture and nationalism. Finally, these case studies are compared and critical reflections are provided on how nationalism works with different nationalization factors
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How this classification was reachedexpand
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.003 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".