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
TALON – the Teaching and Learning Online Network – is a University of Calgary project made possible by the Richard Parker Initiative (RPI). TALON is a hub for critical discussion of new and emerging education approaches and tools. Born in the early stages of the pandemic, shortly following the shutdown of in-person classes across the globe, we seek to document the ongoing changes within higher education and share thoughts, ideas, and experiences about online, blended and hybrid education. TALON's initiatives include A-Z resources, monthly newsletters, interviews with academic professionals and students, in-person activations and various publications. Combined, the projects serve as an interactive lexicon for remote teaching and learning. We keep the academic community informed about current developments in the virtual classroom and connected through discussion. Questions such as: What are the opportunities and challenges with hybrid education? What equipment is needed for effective blended learning? How can face-to-face, online, and other 'out of class' activities be integrated to foster student success? What assessment methods work well in a hybrid classroom? Is hybrid learning the future of education? – are addressed and discussed.
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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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