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Record W2273555271 · doi:10.7135/upo9780857286505.012

Afterword

2012· book-chapter· en· W2273555271 on OpenAlexaff
Veronika Makarova

Bibliographic record

VenueAnthem Press eBooks · 2012
Typebook-chapter
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsModernism (music)GlobalizationHegemonyLinguisticsEnglish languageHistorySociologyMedia studiesPolitical scienceArt historyPhilosophyLaw

Abstract

fetched live from OpenAlex

The development of linguistics, applied linguistics and the language teaching in the last fifty years has been dominated by the studies investigating the English language. This situation is beginning to change as “the success of modernism in integrating all the communities into the global whole has created greater visibility for the local” (Canagarajah 2005). The globalization of the use of English as the language of international communication encounters its opposite trend in the growing interest towards local languages “to resist the colonizing thrust of English” (Canagarajah 2006, 586). Linguistic research becomes increasingly more enriched by explorations of languages other than English coming into the forefront of academic discussions. As pointed out – quite paradoxically in a collection of papers on English-language teaching – “among the darkness of the ‘English only’ movement and the destruction resulting from the hegemony of English, there is a faint ray of hope” (Hall and Eggington 2000, xiii). Among these signs of hope in North America is the first national conference on heritage languages in America held in 1999 (Hall and Eggington 2000), and the establishment of the Heritage Language Journal in 2003.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.993
Threshold uncertainty score1.000

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.000

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 head0.067
GPT teacher head0.229
Teacher spread0.162 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2012
Admission routes1
Has abstractyes

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