Bibliographic record
Abstract
GIVEN the existence of Hywel Francis's highly-regarded Miners against Fascism: Wales and the Spanish Civil War (1984) it is not immediately apparent that a new book is needed on this subject. But Robert Stradling, a prolific author on many aspects of British and Irish involvement in the Spanish Civil War, establishes a good case. Indeed, while paying generous tribute to his predecessor's work, it immediately becomes evident that his main target is precisely the idea of a ‘special relationship’ between Wales (and above all, its coal miners) and the Spanish Civil War that Francis's book epitomised. The two books are in many respects strikingly different. For instance, Stradling's approach is broader in both its geographical and political coverage. He finds more space for North Wales and the port cities of the south, for the views of the Welsh Nationalists and the Welsh language press, and for those sympathetic to Franco and critical of the Republic. Stradling has also benefited from the opening of new archival sources (principally, but by no means solely, in Moscow) which allow him to tell, with new insight, the often poignant stories of individual Welsh volunteers.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.003 |
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".