Encounters in Theory and History of Education/Encuentros en Teoría e Historia de la Educación/Rencontres en Théorie et Histoire de l’Éducation
Bibliographic record
Abstract
Rosa Bruno-Jofré (Queen’s University, Canada) and Gonzalo Jover Olmeda (Universidad Complutense de Madrid, Spain) co-founded Encounters in Theory and History of Education in 2000. Encounters was created to support scholarly work on the theory and history of education and disseminate it to the widest audience possible. With this goal in mind, Encounters has always been completely open access, and publishes articles in English, French, and Spanish. This article explains the history, publication process, and future of Encounters.
 Résumé
 Rosa Bruno-Jofré (Queen’s University, Canada) et Gonzalo Jover Olmeda (Universidad Complutense de Madrid, Spain) ont co-fondé Rencontres en théorie et histoire de l’éducationen l’an 2000. Ils ont créé Rencontresafin d’appuyer la recherche sur la théorie et l’histoire de l’éducation et la disséminer au plus vaste public possible. Afin d’atteindre ce but, Rencontresa toujours été disponible en libre accès et publie des articles en anglais, français et espagnol. Cet article explique l’histoire, le processus éditorial et l’avenir de Rencontres.
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 | 0.024 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".