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Record W2978656505 · doi:10.15210/rle.v22i3.16670

Academic writing in higher education: focusing on courses of graduate programs of a public Brazilian university

2019· article· en· W2978656505 on OpenAlexaboutno aff
Carlla Dall’Igna, Maria Ester Wollstein Moritz

Bibliographic record

VenueRevista Linguagem & Ensino · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAcademic writingContext (archaeology)LiteracyPublic universityHigher educationGraduate studentsMathematics educationGraduate educationPedagogySociologyLearning developmentQuarter (Canadian coin)Medical educationPsychologyPolitical scienceMedicineHistory

Abstract

fetched live from OpenAlex

In the last twenty years researchers have been concerned with the development of higher education students writing literacy (CRISTOVÃO; VIEIRA, 2016; BAZERMAN; MORITZ, 2016). Approaches based on the new literacy studies (LEA; STREET, 1998) recognize the need to learn specific forms of acting in the academic context to successfully participate in such sphere. Considering the importance of academic writing in higher education, this research aims at investigating how academic writing literacy is approached in sixteen graduate programs at a public Brazilian university. One quarter of the university graduate programs were explored as a manner to find courses dealing with academic writing and the content organization of their course plans. Results showed that only fifty percent of the programs investigated offer courses on academic writing and each graduate program approaches academic writing literacy differently. It seems that writing practices in the academic context investigated are still not considered a major issue.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.852
Threshold uncertainty score0.630

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)0.0000.000

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 head0.088
GPT teacher head0.309
Teacher spread0.221 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations1
Published2019
Admission routes1
Has abstractyes

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