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Record W3166762245 · doi:10.11575/prism/38800

The influence of the IELTS Speaking test preparation on second language socialization of post-secondary international students in Canada

2021· dissertation· en· W3166762245 on OpenAlexfundaboutno aff
Tian Lei

Bibliographic record

VenueOpen MIND · 2021
Typedissertation
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
FundersMitacs
KeywordsSocializationTest (biology)Mathematics educationPsychologyPedagogyPolitical scienceDevelopmental psychology

Abstract

fetched live from OpenAlex

The study explores international students’ experience of their IELTS Speaking test preparation and the second language socialization process in Canada and the relationship between them. This research employs a mixed method as the methodology, with quantitative data collection informing the collection and analysis of the qualitative portion. Quantitative data for this study was collected from 60 international students in Canada, and qualitative data collected from 5 Chinese international students at a large Canadian university in Western Canada. While acknowledging the many criticisms of the IELTS test, the findings of this research shed light on a surprising and, to the best of this researcher’s knowledge, previously undiscovered effect: the positive role preparation for the IELTS Speaking test may play in second language socialization.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.411

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0190.006
Scholarly communication0.0070.001
Open science0.0020.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.012
GPT teacher head0.296
Teacher spread0.284 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations1
Published2021
Admission routes2
Has abstractyes

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Same venueOpen MINDSame topicSecond Language Learning and TeachingFrench-language works237,207