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Record W3162855644 · doi:10.29173/pathfinder39

Library Services for Autistic Students in Academic Libraries

2021· article· en· W3162855644 on OpenAlexaffvenue
Erica Braumberger

Bibliographic record

VenuePathfinder A Canadian Journal for Information Science Students and Early Career Professionals · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsInclusion (mineral)PsychologyFace (sociological concept)Theme (computing)Quality (philosophy)Medical educationPedagogySociologyMedicineComputer scienceSocial psychologyWorld Wide WebSocial science

Abstract

fetched live from OpenAlex

Autistic adults and teens are entering universities and colleges at increasing rates, yet many barriers still exist to impede student success. This literature review seeks to identify these barriers, clarify what we know about how autistic students use and perceive the library, and consider what libraries in postsecondary institutions can do to cultivate supportive environments for autistic students. A common theme in the literature is recognition of a dearth of research on this topic, and thus this literature review aims to identify avenues where further research is necessary to understand the challenges autistic students face in library environments and postsecondary education. Current literature indicates that staff training, relationships with community resources, attention to sensory issues, thoughtful design of physical spaces, adaptations to pedagogical techniques, advocation for awareness in the campus community, and calls for further research are all necessary aspects of delivering quality library services to autistic postsecondary students. A successful path forward must prioritize representation, inclusion, and consultation with autistic people.

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.

How this classification was reachedexpand

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.123
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0020.008
Open science0.0010.000
Research integrity0.0000.000
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 head0.042
GPT teacher head0.358
Teacher spread0.316 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2021
Admission routes2
Has abstractyes

Explore more

Same venuePathfinder A Canadian Journal for Information Science Students and Early Career ProfessionalsSame topicChild Development and Digital TechnologyFrench-language works237,207