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Record W4390401512 · doi:10.23860/jmle-2023-15-3-2

Everyday engagement with mobile phones in an urban slum in Delhi

2023· article· en· W4390401512 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

VenueJournal of Media Literacy Education · 2023
Typearticle
Languageen
FieldComputer Science
TopicICT in Developing Communities
Canadian institutionsBrock University
FundersTata Trusts
KeywordsSlumMobile phoneEthnographyParticipant observationLiteracyEveryday lifeSociologyMedia literacyPhoneQualitative researchPoint (geometry)PsychologyPublic relationsInternet privacyPedagogyPolitical scienceSocial scienceComputer science

Abstract

fetched live from OpenAlex

This ethnographic case study presents findings of an 18-month research study focusing on the ways in which families residing in an urban slum were using mobile phones and how this use supported literacy practices. Data collection included participant observations and interviews with 42 participants including parents, children and community members. Results of the data analysis indicated that in this urban slum, most participants owned a mobile phone which provided multiple entry points to learning. The phones ushered in new ways of brokering knowledge where children acted as ‘experts’ and enabled parents to perform everyday tasks while parents mediated as cultural brokers and fostered religious and cultural practices and knowledge of the mother tongue. The implications of the study point to the evolving nature of literacy practices, the versatility of the device, the uneven landscape of smartphone use and the limitations posed by the schooling contexts.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.700
Threshold uncertainty score0.331

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.022
GPT teacher head0.314
Teacher spread0.292 · 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