MétaCan
Menu
Back to cohort

Theorizing Media Productions as Complex Literacy Performances Among Youth In and Out of Schools

2010· book-chapter· en· W2497437675 on OpenAlexaff
Theresa Rogers

Bibliographic record

VenueIGI Global eBooks · 2010
Typebook-chapter
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsYouth studiesSociologyLiteracyYouth workContext (archaeology)Identity (music)Youth cultureMedia literacyWork (physics)Subject (documents)PhenomenonPedagogyMedia studiesGender studiesPublic relationsEpistemologyAestheticsPolitical scienceComputer scienceGeographyEngineeringArt

Abstract

fetched live from OpenAlex

In this chapter the author explores the ways media production represents sophisticated identity and cultural work, and therefore complex literacy performances, among youth as they engage in a play of genres and subject positioning in particular social (educational and community) spaces. Two major research projects in which youth participated in media production form the basis for theorizing in this chapter. Four cases illustrate the ways particular youth design new, hybrid multimodal genres, and how they engage in new models of authorship and cultural critique in this process. Although “youth culture” is often referred to as an undifferentiated phenomenon, this work is highly context-specific, revealing multiple and diverse sub-communities in which specific kinds of cultural and critical work are being undertaken. The author concludes with a challenge to transform schools and classrooms to reflect the increasingly multimodal landscapes in which youth reside.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0040.030
Scholarly communication0.0130.015
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.038
GPT teacher head0.261
Teacher spread0.223 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations10
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueIGI Global eBooksSame topicLiteracy, Media, and EducationFrench-language works237,207