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Record W4402215168 · doi:10.18432/ari29755

“Our Culture is a Product of Active Word”

2024· article· en· W4402215168 on OpenAlexaffvenue
Amir Kalan

Bibliographic record

VenueArt/Research International A Transdisciplinary Journal · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsWord (group theory)Product (mathematics)LinguisticsComputer scienceBusinessMathematicsPhilosophy

Abstract

fetched live from OpenAlex

With a focus on the intersection of creative writing and research, this article reports findings from a poetic inquiry project conducted within an undergraduate writing seminar to help pre-service teachers make sense of immigrants’ experiences with writing in a new culture and language. A group of undergraduate students in Ohio were invited to make found poetry based on interview data from conversations with immigrants about writing in English as their learned language. Adopting Bourdieu’s theories, the research reveals the dynamics shaping the writing culture in North America. The students’ found poems reflect a sensitivity to the societal, political, and ideological foundations of writing. Importantly, the poems recognize writing as a tool for immigrants’ identity negotiation and highlight how rhetorical control can be used for cultural assimilation. In response, some of the students’ found poems advocate for rhetorical complexity and co-constructions of new cultural futures by immigrants and their hosts.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.755
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.100
GPT teacher head0.423
Teacher spread0.324 · 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

Citations1
Published2024
Admission routes2
Has abstractyes

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