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Record W4236327897 · doi:10.14746/ssllt.2016.6.1.1

Editorial

2016· editorial· en· W4236327897 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueStudies in Second Language Learning and Teaching · 2016
Typeeditorial
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsSecond-language acquisitionLanguage acquisitionPsychologyContext (archaeology)Comprehension approachMathematics educationLinguisticsLanguage education

Abstract

fetched live from OpenAlex

The focus of this special issue is instructed second language acquisition (ISLA). It is to explore some of the most recent developments in this area of SLA research and its implications for classroom instruction. Drawing on some current definitions (Leow, 2015; Loewen, 2015; Nassaji, 2015; Nassaji & Fotos, 2010), ISLA is defined as an area of SLA that investigates not only the effects but also the processes and mechanisms involved in any form-focused intervention (explicit or implicit) with the aim of facilitating language learning and development. Instructed SLA differs from naturalistic SLA, which refers to second language (L2) acquisition taking place through exposure to language in naturalistic language learning settings with no formal intervention (Doughty, 2003). It is also different from classroom instruction with no focus on form. Furthermore, although instructed SLA is often taken to refer to what is learned inside the classroom, instructed SLA can also take place outside the classroom through, for xample, various instructional strategies (such as feedback, tasks, or explanation) that are often associated with instruction. Of course, this does not mean that the processes involved in SLA in and outside the classroom are exactly the same. Although there might be commonalities in learning processes, the classroom context has its unique features that might have an impact on learning. For example, in classroom learning a group of learners come together in a particular place to learn the language jointly during a given period of time. This might have an impact on learning opportunities in terms of the nature of the discourse created, learners’ participation, interaction, and engagement with language. As Allwright (1984, p. 156) pointed out, language interaction in the classroom setting is collectively constructed by all learners and “the importance of interaction in classroom learning is precisely that it entails this joint management of 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.

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)0.002
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.145
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.006
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.311
Teacher spread0.297 · 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