Bibliographic record
Abstract
The internment of ‘enemy aliens’ by the British government in two world wars remains largely hidden from history. British historians have treated the subject – if at all – as a mere footnote to the main narrative of Britain at war. In the ‘Great War’, Britain interned some 30,000 German nationals, most of whom had been long-term residents. In fact, internment brought little discernible benefit, but cruelly damaged lives and livelihoods, breaking up families and disrupting social networks. In May 1940, under the threat of imminent invasion, the British government interned some 28,000 Germans and Austrians, mainly Jewish refugees from the Third Reich. It was a measure which provoked lively criticism, not least in Parliament, where one MP called the internment of refugees ‘totally un-English’. The present volume seeks to shed more light on this still submerged historical episode, adopting an inter-disciplinary approach to explore hitherto under-researched aspects, including the historiography of internment, the internment of women, deportation to Canada, and culture in internment camps, including such notable events as the internment revue What is Life!
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.011 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".