Bibliographic record
Abstract
The proliferation of large-scale benefits over the last thirty years has led to debate about the place of the benefit in cultural and political spheres. Acknowledging that cross-cultural flow takes a number of forms, that politics and culture increasingly intermingle, and that the West has a long history and geography tied to exploitation and occupation of other countries, this project discusses four benefits in relation to ideas about myth, narrative, celebrity, and memory. Such benefits as the Concerts for Bangladesh, the Sun City project, Freedomfest (The Nelson Mandela Seventieth Birthday Tribute), and America: A Tribute To Heroes, are explored in relation to cultural-political movements and Western imaginings of Bangladesh, South Africa, and Afghanistan. In so doing, the positional superiority of the West is necessarily reconsidered. Benefits are directional pointers through which music narrates storied sociality, mapping the beats of particular histories and geographies. Emphasizing the importance of hearing, and thereby challenging the visual focus of Western culture, readers are encouraged to hear the maps that benefits project through the traces they inevitably leave in popular landscapes.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.028 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".