Access to information and instructional technologies in higher education I: Disability service providers’ perspective
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 is an applied companion to our empirical article elsewhere in this issue (Fichten et al., in press) on technological needs and concerns of Canadian junior/community college- and university-based disability service providers. Here, we provide highlights of our findings as well as timely, practical recommendations to disability service providers about ensuring access to the growing array of information and instructional technologies on campus. The objective is to provide (a) an overview of the emerging landscape of information and instructional technologies appearing on campus, (b) campus-based disability service providers ’ views about these and how these relate to adaptive technologies, and (c) suggestions about how to be proactive on campus so that information and instructional technologies are accessible to all students, particularly those with disabilities. The underlying premise of this article is that infor-mation and instructional technologies are part of the everyday lives of college and university students now, and for the foreseeable future. Whether it is registering via the Web for a semester’s worth of courses, taking a university degree fully on-line, conducting complex phys-ics experiments using a computer-based simulation tool, or downloading assignments from a professor’s Web site, students are bombarded with multiple opportunities to
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.007 |
| 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