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Record W156687472

Language attitudes, ideologies, maintenance, and Spanish Heritage Learners in the South Texas border

2014· article· en· W156687472 on OpenAlexaboutno aff
Hyanghee Lee

Bibliographic record

VenueScholarWorks @ UTRGV (The University of Texas Rio Grande Valley) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsIdeologyHeritage languageLinguisticsPolitical scienceLanguage ideologyHistorySociologyPedagogyPoliticsLaw
DOInot available

Abstract

fetched live from OpenAlex

Unlike the situations in Europe or Canada, the power of language exercised by the speakers in the U.S.A is centered on English. Considering the general perception of a language as an index of an ethnic identity, this circumstance clearly reflects a linguistic inequality in the multiethnic U.S. society. The primary objective of this study is to examine the language ideologies and attitudes that the Spanish Heritage Learners in South Texas adapt and exercise in their daily activities. This investigation also attempts to analyze the correlations between language attitudes and the intergenerational transmission of Spanish, which would significantly impact the maintenance of Spanish in the study area. Sociolinguistic interviews and language surveys were implemented to carry out the study with the permission from the Institutional Review Board at the University of Texas Pan American.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.544
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
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 head0.024
GPT teacher head0.326
Teacher spread0.302 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2014
Admission routes1
Has abstractyes

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