MétaCan
Menu
Back to cohort
Record W7100678644

THE ACADEMIC LITERACY SOCIALIZATION OF MEXICAN EXCHANGE STUDENTS AT A CANADIAN UNIVERSITY

2007· article· en· W7100678644 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsSocializationStudy abroadFocus groupAcademic writingQualitative researchHigher educationLiteracyForeign languageAcademic year
DOInot available

Abstract

fetched live from OpenAlex

ii Academic exchanges have become very popular worldwide as part of the internationalization of higher education. While the benefits of study abroad have been well documented, mostly using large-scale surveys, detailed information about the individual experiences of sojourners and the outcomes of these experiences has been lacking. Addressing this gap, this qualitative multiple-case study explores the second language (L2) academic literacy socialization experiences of foreign students studying abroad at a large Canadian English-medium university. The focal participants are six undergraduate Mexican students enrolled in the MCMU-WCU Joint Academic Exchange Program (a pseudonym) for either one or two academic terms between 2005 and 2006. Triangulated data sources included interviews with focal and secondary student participants and with two instructors, focus group interviews, written assignments, questionnaires, writing logs, and field notes. The main goal of this investigation was to yield rich understandings of the learning

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)0.001
metaresearch head score (Gemma)0.002
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 score0.210
Threshold uncertainty score0.423

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0170.004
Scholarly communication0.0050.001
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.029
GPT teacher head0.364
Teacher spread0.335 · 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

Citations0
Published2007
Admission routes1
Has abstractyes

Explore more

Same topicInternational Student and Expatriate ChallengesFrench-language works237,207