MétaCan
Menu
Back to cohort
Record W2770085270 · doi:10.1111/lit.12135

Singing our song: the affordances of singing in an intergenerational, multimodal literacy programme

2017· article· en· W2770085270 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueLiteracy · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsSimon Fraser UniversityWestern University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSingingAffordanceMeaning (existential)PsychologyLiteracyEthnographyExploratory researchClass (philosophy)Set (abstract data type)PedagogyMathematics educationDevelopmental psychologySociologyCognitive psychologyComputer scienceSocial science

Abstract

fetched live from OpenAlex

Abstract This exploratory case study examined the affordances of singing as a multimodal literacy practice within ensembles that featured art, singing and digital media produced in an intergenerational programme that served a class of kindergarten children and community elders. The programme that was set up by the study in collaboration with a rural school and elders' organisation saw participants meet one afternoon a week for most of a school year. Study questions concerned the meaning making and relationship‐building opportunities afforded to the participants as they worked through chains of multimodal projects. Data were collected using ethnographic tools in an elders' home where the projects were completed and in the kindergarten where project content and tools were introduced to the children and extended by the classroom teacher. Themes were identified through the juxtaposition of data in relation to the literature and study questions. Results indicate that singing provided opportunities for participants to form relationships and make meaning as a group while combining modes. Study findings foreground the communicative power of singing and suggest how singing, when viewed through a multimodal lens, might be a potent tool for multimodal literacy learning.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.448
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0020.003
Open science0.0000.000
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 head0.051
GPT teacher head0.335
Teacher spread0.284 · 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