MétaCan
Menu
Back to cohort
Record W4391982103 · doi:10.26434/chemrxiv-2024-n471d

The Lewis Structure explorer: Accessible by Design

2024· preprint· en· W4391982103 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueChemRxiv · 2024
Typepreprint
Languageen
FieldSocial Sciences
TopicDigital Accessibility for Disabilities
Canadian institutionsDow Chemical (Canada)
Fundersnot available
KeywordsUSableUsabilityBlindnessComputer scienceMultimediaHuman–computer interaction

Abstract

fetched live from OpenAlex

Successfully learning principles from drawing Lewis Structures sets the foundation for understanding more complex representations of chemical concepts. As these visual-based concepts are core competencies in chemical pedagogies, it is incumbent and required for educational institutions and faculty to provide usable accommodations for all students, including those with blindness and low-vision (BLV). The shift to visually based interactive digital media increases the technical challenge for addressing accessibility for BLV students and makes creating these accommodations by faculty even more difficult. This technology report presents research and development for providing a digital learning system for Lewis Structures designed to be directly accessible by BLV students and other screen reader users. This Lewis Structure explorer can be used by all students and includes a form-driven keyboard accessible control panel. The alternative (alt) text for the structural representations is generated dynamically with user input. The results from two usability studies, one with over 300 sighted college students and the other with four BLV adults who depend on alt text for non-text information, are presented.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.792
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0040.000
Open science0.0020.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.058
GPT teacher head0.335
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it