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Record W1900617828 · doi:10.15353/joci.v3i3.2362

Manteniendo lazos vía Web: El Caso de las Comunidades Mexicanas de Emigrantes en los EUA

2007· article· en· W1900617828 on OpenAlexvenueno aff
Víctor M. González, Luis A Castro-Quiroa

Bibliographic record

VenueThe Journal of Community Informatics · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicDiaspora, migration, transnational identity
Canadian institutionsnot available
Fundersnot available
KeywordsClosenessFeelingPolitical scienceThe InternetPhenomenonHumanitiesGeographyWorld Wide WebArtComputer sciencePsychologySocial psychology

Abstract

fetched live from OpenAlex

Migration has gained considerable attention in the past few years all over the world. The migratory phenomenon has already affected many countries and is likely to deeply reshape forever their societies and regulations. Of particular interest is the migratory flow from Mexico to the USA, which is identified as one of the most important labor related worldwide. It has been found that migration can potentially have a major impact on individuals leaving home as they can experience nostalgic feelings. As a result of physical distance, family members look for closeness to prevail by maintaining in permanent communication. This paper offers an analysis of web sites from Mexican diasporic communities living in the US, aiming to reveal the level of presence of those communities on the Internet as well as to characterize the support they provide for living-away members of the communities.

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)0.015
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.101
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.029
GPT teacher head0.342
Teacher spread0.313 · 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 designQualitative
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

Citations5
Published2007
Admission routes1
Has abstractyes

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