Bibliographic record
Abstract
Vivasvan Soni, Mourning Happiness: Narrative and the Politics of Modernity, reviewed by Neil Saccamano Paul Pelckmans, Le Probleme de l’incroyance au xviiie siecle, reviewed by Critique littéraire par Mladen Kozul Patrick Coleman, Anger, Gratitude, and the Enlightenment Writer, reviewed by Caroline Jacot Grapa Richard Adelman, Idleness, Contemplation and the Aesthetic, 1750–1830, reviewed by Nancy Kendrick Minsoo Kang, Sublime Dreams of Living Machines: The Automaton in the European Imagination, reviewed by Alex Wetmore Christopher J. Lukasik, Discerning Characters: The Culture of Appearance in Early America, reviewed by Jordan Alexander Stein Cheryl L. Nixon, The Orphan in Eighteenth-Century Law and Literature: Estate, Blood, and Body, reviewed by Patricia Whiting éd. Patrice Bret et Brigitte Van Tiggelen, préface d’Élisabeth Badinter, Madame d’Arconville: Une femme de lettres et de sciences au siècle des Lumières, reviewed by Éliane Viennot Jane Austen, ed. Robert Morrison, Persuasion: An Annotated Edition, reviewed by Sarah Raff Daniel Defoe, ed. G.A. Starr and Linda Bree, Moll Flanders, reviewed by Lee Kahan Ellen R. Welch, A Taste for the Foreign: Worldly Knowledge and Literary Pleasure in Early Modern French Fiction, reviewed by Paul J. Young Pierre Saint-Amand, trad. Jennifer Curtiss Gage The Pursuit of Laziness: An Idle Interpretation of the Enlightenment, reviewed by Mitia Rioux-Beaulne
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.465 | 0.510 |
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".