Bibliographic record
Abstract
Entries include: ABC Radio Networks Advertising on Radio Africa South of the Sahara, Radio in All-night Radio AM Radio American Broadcasting System (ABC) Amos 'n Andy Arab World Radio Armed Forces Radio Service (AFRS) Automobile Radio BBC Local Radio BBC Monitoring BBC Radio Programming BBC World Service Benny, Jack Black Radio Networks Brazil, Radio in British Radio Journalists Cable Radio Call-in Shows Canadian Radio Satire CB Radio Censorship Children's Programmes Clandestine Radio Classic Hits Format Cold War Radio Cooke, Alistair Copyright Crosby, Bing Desert Island Disks Developing Nations, Radio's role in Digital Audio Broadcasting DJs Dolby Noise Reduction Early Wireless Election Coverage Federal Communications Commission (FCC) Fireside Chats First Amendment and Radio FM Radio Freed, Alan Gay and Lesbian Radio Germany, Radio in Goon Show, The Ham Radio Hate Groups on Radio High Fidelity Hindenburg Disaster History of Radio Hollywood and Radio Hope, Bob International Radio Internet Radio Jamming Japan, Radio in Jingles King Biscuit Flower Hour King, Larry Language and Radio Licensing Limbaugh, Rush Lord Haw-Haw Marconi, Guglielmo Marketing Marx Brothers Murray the K Murrow, Edward R. Music National Broadcasting Company (NBC) National Public Radio (NPR) News News Agencies Obscenity / Indecency on Radio Pay Radio Payola Pirate Radio in Britain Playwrights on Radio Plugola Politics and Radio Promotion on Radio Propaganda by Radio Radio as Depicted on Film Radio During Disasters Radio Free Europe/Radio Liberty Radio Luxembourg Radio Moscow Recording Industry and the Radio Industry Religion on Radio Rock and Roll Format Satellite Radio Networks Serials Shock Jocks Situation Comedy Soap Opera Sound Effects Stereo Stern, Howard Talent Shows Talk Radio Tokyo Rose Top 40 Format Transistor Radios Underground Radio United States Supreme Court and Radio Variety Shows War of the Worlds Women in Radio.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.010 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.606 | 0.576 |
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".