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Record W4210874697 · doi:10.5007/2175-8026.2022.e82563

The two “multis” and the multiliteracies pedagogy: “shaking hands” in the Brazilian English public education for teens

2022· article· en· W4210874697 on OpenAlexaff
Reinildes Dias, Ana Emília Fajardo Turbin

Bibliographic record

VenueIlha do Desterro A Journal of English Language Literatures in English and Cultural Studies · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsConcordia University
FundersUniversidade Federal de Minas GeraisUniversidade de São PauloCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsPedagogyUnit (ring theory)SociologyEnglish as a second languageMathematics educationQualitative researchEnglish languagePsychologyPolitical scienceSocial science

Abstract

fetched live from OpenAlex

English school textbooks have a long tradition in the Brazilian public sector of education. Most often they are the only pedagogical resources in an English classroom. English public textbooks are submitted to a National Program for evaluation and this educational policy has had positive impacts on these materials. This article analyzes one of the units of a textbook series for teens that was approved in 2020. Our analysis focuses on the two “multis”, the multiliteracies pedagogy and the active role today’s learners play in learning. We also highlight some alternatives for improvements and give some suggestions for English teachers. The documentary research method within the qualitative paradigm supports our analysis. Our results show that the unit follows the principles of the two “multis” and the cycle of knowledge processes although its pedagogical design can be improved. Our analysis also reviews that much has yet to be done if we consider the responsibility students have to assume when 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.

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)0.002
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.244
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.022
GPT teacher head0.323
Teacher spread0.301 · 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 designQualitative
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
Published2022
Admission routes1
Has abstractyes

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