Bibliographic record
Abstract
Near the end of the Second World War, new ideas about citizenship, national identity, belonging, and rights emerged as the atrocities of the war – coupled with the dropping of atomic bombs on Hiroshima and Nagasaki – spurred writers and citizens around the world to think about their responsibilities to their fellow man. Covering British authors and contemporary fiction by migrant writers publishing at mid-century, as well as some photography from the era, Around 1945 is a collection of essays that reveals how literary texts and cultural events modeled human rights issues such as dignity, freedom, sovereignty, and responsibility. Unified by an investigation of the human and cultural aspects of universal rights, these essays show that British writers tested the parameters of citizenship and rights in novelistic form. By imagining duties and rights of citizens in hypothetical contexts, these novels expanded on the legislated entitlements and obligations that make up civic and human identity. To this day the repercussions of 1945 continue to unfold in stories about statehood, refugees, humanitarianism, displacement, and national belonging. At the same time, novels continue to imagine the human person, equal in rights and dignity before the law, yet often compromised by the political exigencies of nation-states that do not recognize legal, political, or human rights. Tracing the rippling consequences of the Second World War from 1945 through the Cold War and into the present, Around 1945 is an extraordinarily rich volume that will alter our perception of pre- and post-war British literature. Contributors include Nadine Attewell (McMaster), Mitchell C. Brown (Dalhousie), Matthew Hart (Columbia), Janice Ho (Colorado), Emily Hyde (Rowan), Peter Kalliney (Kentucky), Marina MacKay (Oxford), Melanie Micir (Washington, St. Louis), Adam Piette (Sheffield) Claire Seiler (Dickinson College), and Ian Whittington (Mississippi).
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.115 | 0.047 |
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".