Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Baseball’s past has been lauded, romanticized, and idealized, and much has been written about both the sport and its history. This is the first volume to explore the understudied side of baseball—how its heritage is understood, interpreted, commodified, and performed for various purposes today. These essays reveal how baseball’s heritage can be a source of great enjoyment and inspiration, tracing its influence on constructed environments, such as stadiums and monuments, and food and popular culture. The contributors discuss how its heritage can be used to address social, political, and economic aims and agendas and can reveal tensions about whose past is remembered and whose is laid aside. Contributors address race and racism in the sport, representations of women in baseball, ballparks as repositories for baseball’s heritage, and the role of museums in generating the game’s heritage narrative. Providing perspectives on the social impact and influence of baseball in the United States, Canada, Japan, South Korea, Brazil, the Caribbean, and the United Kingdom, <italic>Baseball and Cultural Heritage</italic> shows how the performance of baseball heritage can reflect the culture and heritage of a nation.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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 it