MétaCan
Menu
Back to cohort
Record W1965991256 · doi:10.1080/09500782.2012.691513

ICTs as placed resources in a rural Kenyan secondary school journalism club

2012· article· en· W1965991256 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 and Education · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSociologyTransformative learningPedagogyCompetence (human resources)Information and Communications TechnologyLiteracyClubMedia literacyParticipatory cultureSituatedPublic relationsContext (archaeology)JournalismEthnographyMedia studiesPolitical sciencePsychologyComputer science

Abstract

fetched live from OpenAlex

In this study, we draw on three interrelated concepts, i.e. placed resources, multiliteracies and the carnivalesque, to understand how information and communication technology (ICT) resources are taken up within the context of a print-based journalism club. Our research participants attend an under-resourced girls’ residential secondary school in rural Kenya. We used ethnographic methods to document how the 32 club members (aged 14–18 years) used digital cameras, voice recorders and laptops with connectivity to research, conduct interviews, photograph and create texts. Key findings include shifts in identity performance, journalistic competence, and hierarchical distinctions and societal power; growing writer activism and audiences; and the emergence of imagined identities and transformative social futures. Our research challenges current skills-based approaches to introducing new literacies and highlights how the introduction of new ICT resources, when situated within collaborative practices (both research and pedagogical), can result in enhanced literacy learning and text production. These changes have not been without tensions and dilemmas, including the extent to which such practices could only occur outside the formalized classroom with its traditional practices, structures and emphasis on exam results. In addition, some of these tensions raise new questions about the role of ICTs as pedagogical tools and the tendency to ‘romanticize’ their potential.

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 categoriesInsufficient 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 score0.119
Threshold uncertainty score0.998

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.009
GPT teacher head0.252
Teacher spread0.244 · 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