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Record W2306503583 · doi:10.1017/s0261444815000452

International teaching assistants at universities: A research agenda

2016· article· en· W2306503583 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueLanguage Teaching · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsFluencyPresentation (obstetrics)VocabularyTurkishPedagogyMathematics educationPopulationFace (sociological concept)PsychologySociologySocial scienceLinguisticsMedicine

Abstract

fetched live from OpenAlex

International teaching assistants (ITAs) are Indian, Chinese, Korean, Turkish, etc. international students who have been admitted to graduate study at universities in the U.S.A. and Canada, and are being supported as instructors of undergraduate-level classes and labs in biology, chemistry, physics, and math. For the past 30 years, the number of ITAs has been increasing, and many departments at universities have come to rely largely on ITAs to cover their undergraduate teaching needs. As high-intermediate and low-advanced second language learners who must use their second language for professional purposes, ITAs face linguistic, social, professional, and cultural challenges. This is a learner population that deserves more attention, as I hope to establish here with this presentation of six research tasks. I have organized proposed research projects in such a way as to increase readers’ familiarity with this little publicized field, and also to relate the projects to different contexts of inquiry. By ‘contexts’ I mean ‘who is asking what and for what reasons.’ The two contexts of inquiry are: (1) Established areas of ITA program concern, including acquisition of fluency, prosody, and vocabulary; and (2) Working with ‘outside’ theories, such as the Output Hypothesis, and deliberate practice theory.

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.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.832
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.075
GPT teacher head0.360
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