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Record W4386347905 · doi:10.1044/2023_lshss-22-00124

Narrative Retell Assessment Using “Frog” Stories: A Practice-Based Research Speech-Language Pathology Partnership Exploring Story Equivalency

2023· article· en· W4386347905 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

VenueLanguage Speech and Hearing Services in Schools · 2023
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsWestern University
Fundersnot available
KeywordsNarrativePsychologyBespokeGeneral partnershipConversationComprehensionRecallNormativeDevelopmental psychologyMedical educationCognitive psychologyLinguisticsCommunicationMedicine

Abstract

fetched live from OpenAlex

PURPOSE: Narrative abilities are an important part of everyday conversation, playing a key role in academic settings, at home, and in social interactions. As narrative assessments are an effective method for identifying children falling below age expectations, it has been recommended they be included as a routine part of clinical language assessments. It is important that assessments meet the needs of clinicians and their practice. The current study is a practice-based research partnership, where research questions arose from a partnership with school-based speech-language pathologists (SLPs). Working together, SLPs and researchers evaluated a bespoke narrative retell assessment tool. The current study examined recall of events in two wordless picture books, in order to evaluate story equivalency and determine if the tool was appropriate for progress monitoring. These findings were then used to develop local norms. METHOD: , followed by answering 10 comprehension questions related to story events. RESULTS: A significant effect of story was found for both main and supporting events recalled, but not for total events recalled. Total events recalled were found to be predicted by grade only. An examination of percent events recalled revealed four main and four supporting events in each story that were potentially misclassified. Reanalysis following reallocation revealed no significant effect of story for main or supporting events recalled. Normative values for each grade were created using percentile ranks of total events recalled. CONCLUSION: Through a practice-based research partnership, researchers and clinicians worked collaboratively to evaluate a tool, adapt its use, and improve evidence-based practice in a manner that was appropriate and met the needs for the clinical context.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.204
GPT teacher head0.465
Teacher spread0.261 · 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