MétaCan
Menu
Back to cohort
Record W2090373925 · doi:10.1145/2207676.2208598

Evaluating the implicit acquisition of second language vocabulary using a live wallpaper

2012· article· en· W2090373925 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

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicSpeech and dialogue systems
Canadian institutionsNokia (Canada)University of Toronto
Fundersnot available
KeywordsVocabularyComputer scienceWallpaperVocabulary learningRecallLanguage acquisitionProcess (computing)Natural language processingLinguisticsPsychologyCognitive psychologyMathematics educationProgramming language

Abstract

fetched live from OpenAlex

An essential aspect of learning a second language is the acquisition of vocabulary. However, acquiring vocabulary is often a protracted process that requires repeated and spaced exposure; which can be difficult to accommodate given the busyness of daily living. In this paper, we explore if a learner can implicitly acquire second language vocabulary through her explicit interactions with her mobile phone (e.g., navigating multiple home screens) using an interface we developed called Vocabulary Wallpaper. In addition, we examine if the type of vocabulary this technique exposes to the learner, whether it is contextually relevant or contextually-independent will influence the learner's rate of vocabulary acquisition. The results of our study show participants were able to use Vocabulary Wallpaper to increase the number of second language vocabulary that they can recognize and recall and their rate of vocabulary acquisition was significantly greater when presented with a contextually relevant vocabulary than a contextually-independent vocabulary.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.544
Threshold uncertainty score0.265

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.047
GPT teacher head0.332
Teacher spread0.285 · 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

Quick stats

Citations53
Published2012
Admission routes1
Has abstractyes

Explore more

Same topicSpeech and dialogue systemsFrench-language works237,207