Bibliographic record
Abstract
Durante los últimos treinta años, los nacionalistas liberales han defendido la idea según la cual del mismo modo que el liberalismo necesita delnacionalismo para lograrmejor sus objetivos centrales, las diferentes expresiones delnacionalismo deben ser limitadas por los principios liberales.Yael Tamir ha sidouna de las figuras clave de esta singular articulación. En su obra Liberal Nationalism(1993), como en sus trabajos posteriores,no sólo defendió que era posible conciliar los valores liberales con ciertos aspectos fundamentales de la tradición nacionalista, sino también que era necesario fundar una alianza entre el liberalismo y el multiculturalismocon el propósito de hacerjusticia a los miembros de las minorías culturales y religiosas. En Why Nationalism, su más reciente libro,Tamirse proponeenumerar las ventajas que el nacionalismo aporta al discurso político y examinar una variedad de reivindicaciones nacionales juzgándolas por sus propios méritos.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.074 | 0.020 |
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".