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Record W4404964598 · doi:10.1515/ijsl-2024-0063

Writing or reading? An incommensurable choice? [Language in Society]

2024· article· en· W4404964598 on OpenAlexaff
Tommaso M. Milani, Susan Ehrlich

Bibliographic record

VenueInternational Journal of the Sociology of Language · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsYork University
Fundersnot available
KeywordsReading (process)LinguisticsSociologyPhilosophy

Abstract

fetched live from OpenAlex

Abstract In this article, we reflect upon Wolfgang Klein’s provocative suggestion, in Writing or reading, but not both or: a proposal to reintroduce cuneiform writing using the hammer and chisel , that “every scientist” at universities or other research institutions “may and must publish exactly thirty pages a year.” In our view, Klein’s proposal to limit the number of pages each author should be allotted in a given year is comparable to a pill that treats the symptom but not the disease. Instead, we draw upon the ideas of American political theorist Nancy Fraser to argue for the need for a more radical transformation of the structures upon which the academic enterprise rests. Such a transformation would require (1) overhauling the underlying political-economic structure of academic labour relations, and (2) reconsidering what counts as a legitimate form of knowledge production. In saying so, we are also inspired by current theoretical debates about radical humanism and southern/decolonial perspectives to the sociology of language. Ultimately, we advocate for the need to disinvest from (1) individualism as a key principle of the academic project, at least in the humanities and the social sciences; and (2) the written word as the only medium for the production and dissemination of scientific knowledge. Such a proposal is underpinned by an emphasis on orality, the usage of other forms of representation, and the need for recognizing alternative ways of producing and disseminating (Indigenous) ways of being, knowing, and feeling.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.482

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 science0.0010.000
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 head0.049
GPT teacher head0.498
Teacher spread0.449 · 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 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
Published2024
Admission routes1
Has abstractyes

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