The need for a meta-tag standard for audio and visual materials
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
In Canada, as elsewhere around the world, government is trying to move into the Internet Age, to communicate more and more interactively with an everincreasing portion of the electorate and to increase the interoperability of digitized media. The Canadian Government Online Initiative, of which we are a part, is an example of this trend. To facilitate access to our materials, we need metatags, metatags that, by and large were originally set up to deal with print media. Thus, we have been struggling in recent years to apply metadata to a test database of Canadian cultural audio and visual clips that we call Heritage Line. We have followed many avenues for making our data searchable and accessible. We have used the Dublin Core schema, both with the qualified set of elements as well as the unqualified set. Our problems arose specifically with respect to the elements 'type' and 'format'. Mpeg-7 currently appears to offer a solution to our problem.
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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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