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Record W2965925512 · doi:10.21810/sfuer.v12i2.942

Phantoms at the Helm

2019· article· en· W2965925512 on OpenAlexaffvenue
Eleonora Joensuu

Bibliographic record

VenueSFU Educational Review · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Education Studies and Reforms
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsNarrativeSubject (documents)PoliticsSightSociologyAestheticsEpistemologyWork (physics)Political sciencePhilosophyLawArtEngineeringLiterature

Abstract

fetched live from OpenAlex

Educational institutions have held a central role in utopian projects as the vehicle for implementing utopian principles and fashioning the utopian subject. As vehicles for utopian narratives or projects, educational institutions are simultaneously shaped by utopian modes of thought. Modes of thought are not neutral tools that are used as needed, but rather, they are active in how we understand ourselves, others, and the world. This paper draws out the implications and risks of nostalgic and utopian modes of thought to suggest that their mobilization is problematic in education as it directs education’s sight to a distant, illusory past and to an imagined future. The impact of this is an inadequate account for the lived realities of the present. By drawing on feminist epistemology and the work of Jacques Rancière, the paper proposes that a radical attending to the “now,” coupled with a politics of location, offers a way for educational theory and practice to engage its relationship to past, future, and present.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.020
Scholarly communication0.0060.008
Open science0.0010.005
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0190.003

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 head0.026
GPT teacher head0.389
Teacher spread0.363 · 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 source (direct Gemma or distilled Codex), 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
Published2019
Admission routes2
Has abstractyes

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