Standardizing Web TV: Adapting ATSC 3.0 for Use on any IP Network
Bibliographic record
Abstract
The ATSC 3.0 family of standards and the associated NEXTGEN TV brand define a new technology generation for broadcast television. As a hybrid TV standard, ATSC 3.0 allows for both video and HTML5 content and delivery via broadband as well as over-the-air broadcast. Presently, though ATSC 3.0 allows for video and applications to be delivered over any Internet Protocol network, it only allows them to be discovered via an over-the-air broadcast. Here we propose simple changes to ATSC 3.0’s A/331 Signaling, Delivery, Synchronization, and Error Protection specification to allow for discovery of channels automatically on any IP connection via well-known multicast or via HTTPS aided by DNS Service Discovery on domains that are provided by an ISP or user or are well-known. These changes would allow an ATSC 3.0 TV to connect not just to content discovered via broadcast signaling but also to ATSC 3.0 conformant channels and applications discovered on the local network; provided by a cellular network, ISP or IPTV provider; or available publicly on the WWW. Completing the broadband capability of ATSC 3.0 would allow users on compliant TVs to channel surf to live content, streaming services, local devices and web apps, keeping more users on the native TV UI. Making ATSC 3.0 signaling more broadly accessible positions ATSC 3.0 more clearly as a universal runtime for both applications and video, reducing the need within the industry for proprietary application platforms and hardware dongles.
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 | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 0.009 |
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".