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
This paper presents a work-in-progress project for developing an open interactive algorithm visualization (AV) website. This development of project is “open”, because we are developing this website as part of our University's Open Education Resources (OER) initiative. This is “interactive”, because we aim to incorporate interactive functionalities to meet pedagogy, usability, and accessibility needs of the online leaners. In our previous research, we did a detailed survey on the teaching and learning methodologies of the algorithms and data structures and the existing AV websites. Although most AV websites are good at providing some fancy graphics and animations, they did not pay much attention on the learners' needs in pedagogy, usability, and accessibility. We identified that the leaners pedagogy, usability, and accessibility needs are the three important areas that should be bringing into design considerations for an ideal AV website design. In this work-in-progress paper, we present the current state of our open interactive AV website development and the plan for the future to address learners' load management through multimedia functionalities in the AV website. Such amendment in the AV website can fulfill the pedagogy, usability, and accessibility goals for the online learners.
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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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