Bibliographic record
Abstract
JlLducation has failed to adjust to the mas sive transformation in Western culture since the rise of elec tronic media. The shift from the era of the printed book to that of television, with its immediacy and global reach, was prophesied by Marshall McLuhan in his revolutionary Un derstanding Media, which at its publication in 1964 spoke with visionary force to my generation of college students in the United States. But those of us who were in love with the dazzling, darting images of TV and movies, as well as with the surging rhythms of new rock music, had been given through public education a firm foundation in the word and the book. Decade by decade since the 1960s, popular culture, with its stunning commercial success, has gained strength un til it now no longer is the brash alternative to organized reli gion or an effete literary establishment: it is the culture for American students, who outside urban centers have little ex posure to the fine arts. I cannot speak for Canadian or Euro pean students, whom I have had little opportunity to observe closely over time. But because the us is the driving media en gine for the world, what happens there may well be a har binger for the future of all industrialized nations. Interest in and patience with long, complex books and po ems have alarmingly diminished not only among college stu dents but college faculty in the us. It is difficult to imagine American students today, even at elite universities, gathering
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.007 | 0.017 |
| Scholarly communication | 0.023 | 0.030 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.014 | 0.004 |
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".