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Record W2912366379 · doi:10.17645/mac.v7i1.1478

Immigrant Children and the Internet in Spain: Uses, Opportunities, and Risks

2019· article· en· W2912366379 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMedia and Communication · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsnot available
FundersEusko Jaurlaritza
KeywordsThe InternetImmigrationQuarter (Canadian coin)PopulationInternet privacyInternet accessMediationSociologyPolitical scienceGeographyComputer scienceWorld Wide WebSocial scienceDemographyLaw

Abstract

fetched live from OpenAlex

This article describes the use made of the Internet by immigrant children living in Spain and the opportunities and risks it involves. Specifically, it deals with children from the Maghreb, Ecuador, and Sub-Saharan Africa, three regions which account for a quarter of Spain’s foreign-born population. A qualitative methodology was used, based on in-depth interviews with 52 children from these countries and educators from their support centres. Immigrant minors usually access the Internet via their smartphones rather than via computers. They have a very high rate of smartphone use and access the Internet over public Wi-Fi networks. However, they make little use of computers and tablets, the devices most closely associated with education and accessing information. Internet usage is fairly similar among immigrant and Spanish teens, although the former receive more support and mediation from their schools and institutions than from their parents. The Internet helps them to communicate with their families in their countries of origin. As one educator puts it, “they have gone from sending photos in letters to speaking to their families every day on Skype”. Some teens, particularly Maghrebis, sometimes suffer from hate messages on social networks.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.502
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.043
GPT teacher head0.271
Teacher spread0.228 · 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