Bibliographic record
Abstract
Archipelagic Modernism is a book assembled from the fruits of many conversations, experiences, and adventures, mainly within and around the islands we still call 'Britain and Ireland', but sometimes further afield.Most of my intellectual debts are recorded in the references and bibliography, although I wish to acknowledge some more fully here.In my previous books I have scuttled between two national traditions, Irish literature and English literature, as if they could be kept apart, but it has always been clear that each tradition has informed and shaped the other profoundly and pervasively, as well as having similarly deep engagements with other national, regional, and transnational traditions.The cultivation of a full understanding of these literary interrelations, and of an archipelagic account of the literary histories of these islands, is an unassailable task for one scholar, but in this book I have sought to scout out some of the possibilities, and some of the problems, with which a more extensive archipelagic project would have to engage.I am deeply grateful to the commissioning editor at Edinburgh University Press, Jackie Jones, for inviting me to write a book which would explore the relations between the anglophone literatures of Scotland, Ireland, Wales, and England, without which invitation my archipelagic ambitions would have found expression only in a few expeditionary essays.Jackie, as well as her colleagues, including
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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 | 0.005 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.480 | 0.333 |
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; the direct Gemma label and the distilled Codex classifier 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".