Blind User Experiences of US Academic Libraries can be Improved by More Proactive Reference Service Delivery
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
A Review of:
 Mulliken, A. (2017). There is nothing inherently mysterious about assistive technology: A qualitative study about blind user experiences in US academic libraries. Reference & User Services Quarterly, 57(2), 115-126. https://doi.org/10.5860/rusq.57.2.6528 
 Abstract
 Objective – To explore blind users’ experiences with academic libraries.
 Design – Qualitative questionnaire.
 Setting – Academic libraries within the United States of America.
 Subjects – 18 individuals who are legally blind, have experience relying on a screen reader to access the internet, and have used an academic library either online or in person within the previous two years.
 Methods – An open-ended questionnaire was administered via telephone interview. Interviews were recorded, transcribed and analysed using an inductive approach to identify themes using Hill et al.’s (2005) approach.
 Main Results – The author found seven themes in the interview data: experiences working with reference librarians in person, difficulty with library websites, screen reader use during reference transactions, preferences for independence, using chat, interactions with disability officers, and challenges of working with citation styles. 
 Conclusion – The study concluded that academic libraries and librarians should be more proactive when approaching reference services for blind users. The author offered suggestions for practice about how to improve blind user experiences of academic libraries.
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 | 0.001 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.368 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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