Bibliographic record
Abstract
Catalan ethnic identity is an ongoing process of transformation, negotiation and meaning-making that is set within and draws sustaining energies from a field of dynamic and ambiguous connections. Many social theorists label Catalan people as an ethnic group yet very little work has focused specifically on the ongoing formation of Catalan ethnic identity. Catalans are most often mentioned alongside Basque, Québécois, Scots, Celts and Flemish. That is, they are usually categorised with groups that exhibit strong nationalist sentiments or are considered as nations-without-states. As the vast majority of works on Catalan identity focus on nationalism and few on ethnicity, I saw an opportunity to utilise an ethnicity framework to better understand an ‘identity under construction’, an identity that is responding in novel ways to present conditions to assert difference and uniqueness. Catalan people are not, however, simply affirming existing difference, but forging a contemporary identity that draws on tensions and ambiguities, and resists reductive inclusion into a dominant Spanish identity. I argue that there is a foreshortening of the full significance of Catalan identity construction if the interpretive grid supplied only by nationalism is invoked. This thesis harnesses the potentials of ethnicity theory to propose that the Catalan struggle for identity embraces complexities and creativities that resist attempts to resolve their identity into particular scripted meanings or contained 'essences'. Ethnographic fieldwork has enabled engagement in the everyday worlds where Catalan ethnicity ‘happens’ to develop nuanced understandings of being and feeling Catalan within contemporary contexts of change and contestation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.005 |
| 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".