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
My name is Martin Lettry, I'm a master's student in Computer Science at EPFL in Switzerland and an alumnus of the University of Lugano (USI), also in Switzerland. My academic journey has been significantly impacted by my collaboration with LighthouseTech – a startup developing smart glasses for blind and visually impaired (BVI) people. As part of my bachelor thesis, I focused on defining default settings for these glasses through user testing with BVI individuals in Milan and Bern. My decision to attend ASSETS'24 in St. John's, Newfoundland, was driven by several objectives. First and foremost, I wanted to present my research through a poster session showcasing my bachelor thesis and a device prototype. Additionally, I was curious to see first-hand some of the research being done in the accessibility community and learn about ongoing projects. Given my background in BVI research, I was particularly interested in connecting with other researchers working on similar solutions.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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