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Record W2132692975 · doi:10.2304/ciec.2011.12.4.385

Accessing Pedagogical Territories That Can't Be Put into Words: Using Video to Build Understandings of Children's Multimodal Meaning-Making

2011· article· en· W2132692975 on OpenAlexfundno aff
Maggie Haggerty

Bibliographic record

VenueContemporary Issues in Early Childhood · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsnot available
FundersMinistry of Education- New ZealandInternational Council for Canadian Studies
KeywordsMeaning (existential)Meaning-makingSemioticsPsychologyEarly childhood educationCurriculumAction (physics)Early childhoodMultimodalityPedagogyLinguisticsDevelopmental psychology

Abstract

fetched live from OpenAlex

This article outlines ways in which video can further our understanding of how different modes of communication and meaning-making shape learning and learners in the early years. It focuses on a dramatic play and writing episode videoed during a three-year action research study investigating children's use of different semiotic modes in the curriculum of a New Zealand kindergarten. It highlights the capacity of video to enable closer attention to be paid to the pedagogical significance of modes such as the visual, gestural, mimetic, spatial and kinaesthetic as well as the verbal. It explores how differences in media (e.g. computer, video, book, screen) interact with differences in mode, and the ways in which the collaborative viewing of video recordings of ‘everyday’ episodes in early childhood settings, by teachers, researchers and parents, can serve as a platform for inquiry about children's meaning-making processes.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.134
GPT teacher head0.325
Teacher spread0.191 · 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 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

Citations8
Published2011
Admission routes1
Has abstractyes

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