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Record W7048204524

“It is important to understand that there are not just 3 varieties of English” : Swedish upper secondary school students’ awareness of and attitudes towards varieties of English

2021· article· en· W7048204524 on OpenAlexaboutno aff

Bibliographic record

VenueDiVA (Mälardalen University College) · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLightning and Electromagnetic Phenomena
Canadian institutionsnot available
Fundersnot available
KeywordsVarieties of EnglishIrishOpenness to experienceFocus (optics)Focus group
DOInot available

Abstract

fetched live from OpenAlex

The main aim of this study is to investigate Swedish upper secondary school students’ awareness of and attitudes to varieties of English, especially with a focus on accents. Based on a survey with both open-ended and closed questions, this study is both qualitative and quantitative. The questionnaire was distributed digitally to several teachers at three upper secondary schools in Sweden, one school in Eskilstuna and the other two in Stockholm. The number of participants in total was 88. The results revealed that the students were aware of several varieties of English, but the most known varieties were American, British, Irish and Indian English. Furthermore, the students were enthusiastic about both American and British English, but American English was the most common. In addition, the majority of the students believed that it was essential to learn about varieties of English in school and that American, British and Canadian were the most important varieties to learn about. In conclusion, the students have a general awareness of and an openness to linguistic variation, as well as being positive towards learning about different varieties of English in school.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.443
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.018
GPT teacher head0.234
Teacher spread0.216 · 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 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
Published2021
Admission routes1
Has abstractyes

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