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Record W4286329862 · doi:10.3138/jeunesse.13.2.118

Engaging Children and Young People in the Co-Production of Memory and Culture through Multimodal Ethnographic Research

2022· article· en· W4286329862 on OpenAlexvenueno aff
Elina Moraitopoulou

Bibliographic record

VenueJeunesse Young People Texts Cultures · 2022
Typearticle
Languageen
FieldHealth Professions
TopicDigital Storytelling and Education
Canadian institutionsnot available
Fundersnot available
KeywordsAcknowledgementMemory workEthnographyAgency (philosophy)SociologyDisciplinePerceptionMultimodalityPsychologyPedagogySocial scienceEpistemologyAnthropologyLinguisticsComputer science

Abstract

fetched live from OpenAlex

Despite the changing perception of children’s role in public discourse and the acknowledgement of their right to both agency and participation, the persistent marginalization of children’s views and experiences in the making of public memory and culture needs to be further addressed across disciplinary boundaries. Drawing on research from childhood and memory studies, this article explores how multimodal ethnographic experimentations can be used to invite children and young people to be research partners and co-creators of public memory and culture about the things that concern them. I discuss the Connectors Study, and the Children’s Photography Archive, as an illustrative case example of engaging children in cultural work through research and draw on the premises within this study to suggest an experimental methodology that invites school students as co-creators of educational memory. I argue for an explicit use of multimodality as a research practice that mediates and facilitates children and young people’s memory-making in the present, while creating a framework that recognizes them as co-creators of culture and public memory-making.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.275
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.057
GPT teacher head0.412
Teacher spread0.355 · 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

Citations4
Published2022
Admission routes1
Has abstractyes

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