Reimagining Education for the Second Quarter of the 21st Century and Beyond
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
The authors in this volume offer a new set of lenses that brings into focus the possibilities offered by different pedagogical approaches. With these lenses, this volume recognizes and answers the growing call from learners, parents, educators, communities, and national leaders for a re-imagined way to educate. This volume creates a vision of the future of education that calls for engagement in such pedagogies as blended learning, disruptive technology, connected and personalized. Contributors are: Vinita Abichandani, Fatma Nur Aktaş, Anastasios Athanasiadis, Anastasios (Tasos) Barkatsas, Seth Brown, Athina Chalkiadaki, Grant Cooper, Carlos García Cuadrado, Kimberley Daly, Yüksel Dede, Zara Ersozlu, Andrew Gilbert, James Goring, Anne K. Horak, Kathy Jordan, Katerina Kasimatis, Gillian Kidman, Peter Kelly, Manolis Koutouzis, Alex Koutsouris, Huk-Yuen Law, Susan Ledger, Kathy Littlewood, Simone Macdonald, Elisa Arranz Martín, Tricia McLaughlin, Juanjo Mena, Claudia Orellana, Anastasia Papadopoulou, Vassiliki Papadopoulou, Kate Park, Scott K. Phillips, Ioanna Skaltsa, Micah Swartz, Hazel Tan, and Lisa Williams.
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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it