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Record W2973843803 · doi:10.4324/9780203836064-9

Diaspora Communities, Language Maintenance, and Policy Dilemmas

2014· book-chapter· en· W2973843803 on OpenAlexaboutno aff
Suresh Canagarajah

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsDiasporaLanguage policyLinguisticsPolitical scienceSociologyGender studiesPhilosophy

Abstract

fetched live from OpenAlex

Sri Lankan Tamils are among the newest wave of immigrants in North American and European metropolises. Before the Sri Lankan ethnic conflict became militarized in 1983, Tamils left the island sporadically for educational purposes, and mostly to the colonial metropolis London. In the past 20 years, however, they have migrated in increasing numbers to many other locations in the West. I have been visiting three locations in particular – Toronto, London, and Lancaster (California) – since 1996 to understand the Tamil community’s orientation to English language (see Figure 3.1). Currently, according to the estimates of local Tamil community organizations, there are about 150,000 Tamils in Toronto (the largest community of Tamils in a single city outside Sri Lanka) and 50,000 in London.1 While they are scattered in the United States, Tamils form a cohesive community of about 35 families (120 people) in a small town populated by 121,000 people in Lancaster (approximately 60 miles north of Los Angeles). Though this is a smaller community (providing fewer subjects for research), I wanted to compare how a fairly close-knit immigrant community in a small town reflected the trends of scattered settlements in other urban locations.

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 categoriesInsufficient 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 score0.962
Threshold uncertainty score0.996

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.056
GPT teacher head0.398
Teacher spread0.342 · 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

Citations11
Published2014
Admission routes1
Has abstractyes

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