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
It is our great pleasure to welcome you to the 1st Workshop on Education: Teaching Digital Literacies associated with WWW 2016.The dynamics of Web Education and Digital Literacies are among today's most important issues surrounding the development of the Web as an efficient, safe and universal information system.A wide range of disciplines including sociology, economics, political studies, health and management science have integrated courses and specializations to teach about the Web, its nature, its realities, its impact its evolution and its integration into every dimension of human activity.The workshop will gather a very broad community of participants: professors involved in digital literacy programs or courses, consultants empowering employees in a company, students or faculty in an interdisciplinary program or activists in an NGO teaching the Web to kids.The call for short papers attracted submissions from Asia, Europe and Canada. The program committee has reviewed and accepted 7 submissions.The workshop will also be preceded and followed by online activities on the Bookwitty.com platform. These activities aim to not only strengthen links within the Web Education Community, but also to gather and present the outcomes of the workshop.
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 | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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