D.2.2.3. At least four among video spots or clips in various languages
Bibliographic record
Abstract
The GUTTA project aims and results were disseminated through the realization of several videos (11), the majority of them (9) published on the CMCC YouTube Channel and organized in a playlist1<br> The two remaining videos were live streamed and published on the Adsp-MAM’s Facebook page2 More in detail, the LP coordinated the activities for the realization of the final video of the project, being involved in the design and realization of the script and storyboard of the videos; in the realization of the texts, in English and in Italian, to be used by the speakers of the videos. Moreover, LP supported the video-maker in the iconographic research and in the editing of the videos. The text for the subtitles of the English version – subtitled in Croatian of the video was translated by MPPI, GUTTA project partner. The University of Zadar and CSA mare nostrum contributed to the realization of the GUTTA final videos by providing footages and photos.
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 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.265 | 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; both teacher heads agree on what is shown here.
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".