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Record W2225651605 · doi:10.22456/2238-8915.28845

O PROCESSAMENTO DE NARRATIVAS EM SEGUNDA LÍNGUA: UM ESTUDO COM fNIRS

2011· article· en· W2225651605 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

VenueOrganon · 2011
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsUniversité de MontréalInstitut Universitaire de Gériatrie de Montréal
Fundersnot available
KeywordsReading (process)Right hemisphereSituational ethicsPsychologyMagnetoencephalographyNeuroimagingComprehensionCognitive psychologyLateralization of brain functionLinguisticsComputer scienceNeuroscienceSocial psychologyElectroencephalographyPhilosophy

Abstract

fetched live from OpenAlex

! is article presents the results of a study which investigated theperformance of native speakers of English (L1) when reading texts in French(L2), language in which they had intermediate pro" ciency. ! e study investi-gated, in relation to behavioral performance, these readers’ accuracy and re-sponse times when processing the text at three di# erent levels (the macro- andthe micro-structure and the situational model), whereas, with respect to brainactivity, the study analyzed the participation of the two cerebral hemispheresin processing the three levels mentioned above, using the fNIRS (functionalNear-Infrared Spectroscopy) neuroimaging tool. ! e behavioral results showstatistically signi" cant di# erences between the two groups. ! e neuroimag-ing results indicate a statistically signi" cant participation of the two regionsof interest in temporal areas of the right hemisphere during processing at themacro-structure, as well as of temporal and frontal regions in the le$ hemi-sphere in comprehension at the microstructure.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.603
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0060.001

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 head0.029
GPT teacher head0.290
Teacher spread0.261 · 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