Improving the Integration of Public Reading in Cultural Policies of Francophone Developing Countries
Bibliographic record
Abstract
The question of public reading - of access to published works, newspapers, and to information in general - is a major challenge in developing countries. Public reading does not replace education or literacy policies. It is far more important because it fi rmly establishes access to knowledge into day-to-day reality, and gives everyone the possibility of an opening to the world. It meets the expectations of local populations, namely those in remote areas, as is shown by nearly 3 million admissions and more than 1 million books lent each year in the 213 Reading and Cultural Activity Centres set up by the Organisation Internationale de la Francophonie (OIF) in 18 countries in Africa, the Indian Ocean, the Caribbean and the Middle East. In addition to giving access to books and newspapers, the centres allow access to the media (radio, television, video), to computers, sometimes to the Internet. In addition to being public libraries, these centres host cultural activities such as conferences, theatrical and musical events, training sessions (on health, agriculture, etc.). In view of this success, many governments of developing countries want to develop a genuine public reading policy at national level.
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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 | 0.014 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".