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Record W2963901960 · doi:10.17613/6reaj-qhp65

Canadian Utopia: Communal Approach to Digital Scholarship

2019· article· en· W2963901960 on OpenAlexaboutno aff
Lydia Zvyagintseva

Bibliographic record

VenueHumanities Commons CORE (Modern Language Association / Columbia University) · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicDigital Humanities and Scholarship
Canadian institutionsnot available
Fundersnot available
KeywordsUtopiaScholarshipSociologyDigital scholarshipEpistemologyAestheticsPolitical scienceComputer sciencePhilosophyWorld Wide WebLaw

Abstract

fetched live from OpenAlex

This talk operates on the assumption that critique is important, but acts of imagination and possibility are necessary now more than ever, both in the academy and society more broadly. Inspired by Frederic Jameson reimagining utopia, I am responding to Gaudry and Lorenz's call to envision a socially just Canadian academy beyond mechanisms of inclusion (2018). Recognizing contemporary debates of indigenization of academic spaces and programs in Canada, I am interested in adopting the ideas of a resurgence-based decolonial indigenization as an opportunity to apply the benefits of balanced power relations to all learners. From this starting point, I explore the digital scholarship centre as a site for putting into practice Ranciere's theories of radical intellectual equality and a commitment to intellectual liberation. I also draw on Leanne Betasamosake Simpson's idea of land as pedagogy as a frame to reconsider knowledge creation and dissemination. My goal with this presentation is to create a space to ask the following questions: What should be the role of the academy in a society where the material conditions of its members have been met and the fundamental relationship is not based on exchange? Can the digital scholarship centre model non-oppressive organization approaches in the context of a research and learning institution? Digital scholarship centres, much like makerspaces in public libraries, have the potential to embody a commitment to public humanities. However, the very definition of the public good and disciplinarity will require an epistemological reframing in such a proposed utopian context.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient 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 score0.905
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0040.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.030
GPT teacher head0.190
Teacher spread0.160 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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