MétaCan
Menu
Back to cohort
Record W2979912798 · doi:10.22215/etd/2018-13297

Technology, Hegemony, and Citizenship

2018· dissertation· en· W2979912798 on OpenAlexafffund
Lucas Jerusalimiec

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldArts and Humanities
TopicPhilosophical and Theoretical Analysis
Canadian institutionsCarleton University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCitizenshipHomogenization (climate)PoliticsHegemonyPolitical scienceEpistemologySociologyLaw and economicsPolitical economyLawPhilosophy

Abstract

fetched live from OpenAlex

Political theorists in the tradition of Martin Heidegger and Jacques Ellul describe technology as a systematic, efficient, and autonomous force that is reordering society.This paper considers how such a view of technology impacts our understanding of modern citizenship, as well as two major critiques that seek to preserve the possibility of citizenship in spite of technological progress.My thesis is that when theorists consider technology to have the power to reorder society, they think this reordering will lead to ever greater homogenization.Alexandre Kojève interprets homogenization as a prerequisite to political satisfaction, while Edmund Burke thinks that homogenization will collapse due to its own internal logic.The thinkers who deal with technology and citizenship seek to avoid tyranny, but they cannot do so while accepting homogenization as the probable outcome of technological progress.We are left with the problem of recovering political agency through convention rather than scientific power.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.006
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.027
Scholarly communication0.0060.006
Open science0.0000.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.019
GPT teacher head0.234
Teacher spread0.215 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2018
Admission routes2
Has abstractyes

Explore more

Same topicPhilosophical and Theoretical AnalysisFrench-language works237,207