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Record W4388461291 · doi:10.25071/2564-2855.28

Vocabulary in urban contexts using multimodality

2023· article· en· W4388461291 on OpenAlexaffvenue
Camila Gonzalez Bravo

Bibliographic record

VenueWorking papers in Applied Linguistics and Linguistics at York · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicSubtitles and Audiovisual Media
Canadian institutionsYork University
Fundersnot available
KeywordsMultimodalityVocabularyPresentation (obstetrics)Artifact (error)Computer scienceProcess (computing)Key (lock)LinguisticsSpace (punctuation)Natural (archaeology)Artificial intelligenceWorld Wide WebGeography

Abstract

fetched live from OpenAlex

This is the presentation of a new pedagogical tool. The tool is an alternative to the usual presentation of vocabulary focusing on some key concepts: multimodality, theory of space, and collaborative learning. Considering that the study of foreign languages has the difficulty of studying cultural elements that are usually not present in the life of the students, this paper will propose an activity to study vocabulary in a contextualized space. The objective is to understand social spaces through discovering lexical items in a natural environment, using the observation and description of urban photographs, which represents a change to the traditional way of presenting vocabulary. Through a collective and technology mediated process, the students create a multimodal artifact that can be shared with other students. The process of learning occurs, first, from the production of the artifact, and second, from the presentation and exchange of the artifacts produced among students.

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 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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.985
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 head0.051
GPT teacher head0.268
Teacher spread0.217 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2023
Admission routes2
Has abstractyes

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