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Record W4392937409 · doi:10.18438/eblip30462

Storytime Librarians Are Striving to Deliver Effective Storytime Programming to Children with Disabilities and Developmental Delays

2024· article· en· W4392937409 on OpenAlexaffvenue
Jackie Phinney

Bibliographic record

VenueEvidence Based Library and Information Practice · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsDalhousie University
Fundersnot available
KeywordsInclusion (mineral)PsychologyMedical educationCoding (social sciences)The InternetIntervention (counseling)Computer scienceWorld Wide WebMedicineSociologySocial psychology

Abstract

fetched live from OpenAlex

A Review of: Daskalakes, D. T. M., & Cahill, M. (2023). “We’re all pretty welcoming”: Inclusion of children with disabilities in library storytime programs. Journal of Early Intervention. Advance online publication. https://doi.org/10.1177/10538151231176193 Objective – To identify and characterize public librarians’ inclusion of children with disabilities and developmental delays (and their caregivers) in storytime programming, and to characterize how librarians determine if inclusion was successful. Design – Qualitative study using semi-structured interviews. Setting – Public library settings across Kentucky, Ohio, and Indiana (United States). Subjects – 34 public librarians offering storytime programming. Methods – The researchers invited all public libraries in the geographic area of interest to complete an internet survey expressing their interest in participating, and from the responses a stratified random sample of libraries was chosen. From each of these libraries, researchers randomly selected one storytime librarian to participate in the study. An experienced research team member conducted interviews using video conferencing software, and the other team member reviewed all transcripts to ensure accuracy. The researchers first analyzed the data using an inductive approach to generate descriptive codes. They then assigned these codes to the data that matched the study’s research questions. Finally, they conducted a third round of coding to describe some topics in greater detail. Main Results – Librarians are making attempts to be inclusive, and their attitudes toward children with disabilities and developmental delays (and their caregivers) are welcoming and flexible. However, they expressed limited experience in offering accommodations, and they perceived their positive attitude as being an accommodation in and of itself. Librarians are largely relying on the child’s experience to gauge how successful they are at being inclusive, and engaging in collaborative conversations with caregivers is also common. Conclusion – Overall, librarians are interested in offering programs that are accessible to children with disabilities and developmental delays but struggle to engage with meaningful accommodations that promote better educational outcomes. The authors emphasize that it is important for libraries to be welcoming of everyone, but more should be done to actually meet the needs of these patrons. This study has implications for public libraries and librarians, who should review their practices to ensure they are addressing the needs of children with disabilities and developmental delays and their caregivers. It also has implications for the profession, as it supports the idea that librarians should be better prepared to support these patrons in storytime programming and that institutions should facilitate librarian efforts through information exchanges. Finally, this study establishes that there is a need for further exploration of inclusivity for children with disabilities and developmental delays in storytime programming.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.002
Scholarly communication0.0040.006
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.002

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 head0.013
GPT teacher head0.264
Teacher spread0.251 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2024
Admission routes2
Has abstractyes

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