Media and information literacy for the public good: UNESCO MILID Yearbook 2023
Bibliographic record
Abstract
The UNESCO UNITWIN Cooperation Programme on Media and Information Literacy and Intercultural Dialogue (MILID) is based on an initiative from the United Nations Educational, Scientific and Cultural Organization (UNESCO) and the UN Alliance of Civilizations (UNAOC). This Network was created in line with UNESCO’s mission and objectives, as well as the mandate of UNAOC, to serve as a catalyst and facilitator helping to give impetus to innovative projects aimed at reducing polarization among nations and cultures through mutual partnerships. This UNITWIN Network is composed of universities from different geographical areas: Autonomous University of Barcelona (Spain), University of the West Indies (Jamaica), Cairo University (Egypt), University of Sao Paulo (Brazil), Temple University (USA), Tsinghua University (China), Moulay Ismail University (Morocco), Sidi Mohamed Ben Abdellah University (Morocco), University of Guadalajara (Mexico), Western University (Canada), University of Gothenburg (Sweden), Sorbonne Nouvelle University (France), Punjabi University, Patiala (India), University of the South Pacific (Fiji), University of South Africa (South Africa), Nnamdi Azikiwe University (Nigeria), Ahmadu Bello University (Nigeria), Lagos State University (Nigeria), University of Jors (Nigeria), University of Calabar (Nigeria), Hosei University (Japan), University of Latvia (Latvia), Moscow Pedagogical State University (Russia), Corporación Universitaria Minuto de Dios UNIMINUTO (Colombia), Vytautas Magnus University (Lithuania), MICA (India), University of Campinas (Brazil). The main objectives of the Network are to foster collaboration among member universities, to build capacity in each of the countries in order to empower them to advance media and information literacy and intercultural dialogue, and to promote freedom of speech, freedom of information and the free flow of ideas and knowledge. Specific objectives include acting as an observatory for the role of media and information literacy (MIL) in promoting civic participation, democracy and development as well as enhancing.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.015 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.042 | 0.020 |
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".