Bibliographic record
Abstract
This text brings together the writings of more than twenty international academics to explore the rapidly expanding field of literary journalism - a term the editors view as disputed terrain. Journalists from a uniquely wide range of countries and regions - including Britain, Canada, Cape Verde, Finland, India, Ireland, Latin America Norway, Sweden, the Middle East, the United States - are covered as are a range of subject areas. These are divided into sections titled Disputed Terrains: Crossing the Boundaries between Fact, Reportage and Fiction, Exploring Subjectivities: The Personal is Where We Start From, Long-form Journalism: Confronting the Conventions of Daily War Journalism, Colonialism, Freedom Struggles and the Politics of Reportage, and Transforming Conventional Genres. The collection will be of interest to students of journalism, media studies, literary studies, and culture and communication as well as all those interested in exploring the literary possibilities of journalism at its best.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 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; both teacher heads 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".