Enhanced Instructional Presentations and Field-Webs
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 development and growth of the Internet has revolutionized not only the way we access information, but the way we present it as well. Prior to the advent of the World Wide Web, most learning presentations were audio, textual, or video publications that were viewed linearly, or planned learning activities that were presented in a linear fashion. The learner may have listened to a lecture, completed a sequence of activities, read a chapter in a textbook, followed along on a tour, or watched a film or video to gain the information needed to learn a new concept – and opportunities to adjust the presentation sequence were limited. Linear presentations (lectures, expositions, demonstrations, activity sequences, etc.) can be seen as efficient from the perspective of the instructor and the institution. They aim to maximize the overall learning effects for a target audience by identifying the state of understanding and needs of the average learner, and then creating and reusing a fixed presentation to meet those typical needs. These presentations are often well polished and can be effective for large portions of their target audiences.
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 | 0.000 | 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