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Record W1965630175 · doi:10.1080/09588221.2014.937723

Does copying idioms promote their recall?

2014· article· en· W1965630175 on OpenAlexaboutno aff
Hélène Stengers, Julie Deconinck, Frank Boers, June Eyckmans

Bibliographic record

VenueComputer Assisted Language Learning · 2014
Typearticle
Languageen
FieldPsychology
TopicSecond Language Acquisition and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsCopyingRecallComputer scienceLinguisticsNatural language processingPsychologyMathematics educationArtificial intelligenceCognitive psychologyPolitical science

Abstract

fetched live from OpenAlex

This paper reports an experiment designed to evaluate an attempt to improve the effectiveness of an existing L2 idiom-learning tool. In this tool, learners are helped to associate the abstract, idiomatic meaning of expressions such as jump the gun (act too soon) with their original, concrete meaning (e.g. associating jump the gun with the scene of a track athlete who starts running before the starting pistol is fired). This association lends concreteness to target lexis, which is known to facilitate learning (Paivio, A., & Desrochers, A. (1979) Paivio, A., & Desrochers, A. (1979). Effects of an imagery mnemonic on second language recall and comprehension. Canadian Journal of Psychology, 33, 17–28.[Crossref], [Web of Science ®] , [Google Scholar]. Effects of an imagery mnemonic on second language recall and comprehension. Canadian Journal of Psychology, 33, 17–28). It is a mental operation that orients the learner first and foremost to the semantic dimension of the expression, however. It does not as such engage the learner with formal properties of the expression, such as its orthography. In an effort to stimulate the latter engagement, a copy exercise was incorporated in the learning procedure. The merit of this additional exercise was evaluated by having one group of students (N= 21) study 25 idioms according to the new procedure, while a comparison group (N= 21) was given an additional meaning-oriented task instead. Recall by the two groups was compared immediately and two weeks after the treatment by means of a gap-fill test. The copy exercise was not found to promote better recall, a result we discuss with reference to levels of processing theory (Lockhart, R.S., & Craik, F.I.G. (1990) Lockhart, R.S., & Craik, F.I.G. (1990). Levels of processing: A retrospective commentary on a framework for memory research. Canadian Journal of Psychology, 44, 87–112.[Crossref], [Web of Science ®] , [Google Scholar]. Levels of processing: A retrospective commentary on a framework for memory research. Canadian Journal of Psychology, 44, 87–112).

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)0.004
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.033
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.011
GPT teacher head0.278
Teacher spread0.267 · 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 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

Citations11
Published2014
Admission routes1
Has abstractyes

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