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From Bio- to Eco-Deconstruction

2019· article· en· W3004041537 on OpenAlexaffabout
Matthias Fritsch

Bibliographic record

VenueCR The New Centennial Review · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicPhilosophy, Ethics, and Existentialism
Canadian institutionsConcordia University
Fundersnot available
KeywordsDeconstruction (building)CentennialIconArt historySociologyArtLibrary scienceHistoryComputer scienceEngineeringArchaeology

Abstract

fetched live from OpenAlex

Research Article| November 01 2019 From Bio- to Eco-Deconstruction Matthias Fritsch Matthias Fritsch Concordia University, Montréal Matthias Fritsch is Professor of Philosophy at Concordia University, Montréal. He is the author of The Promise of Memory: History and Politics in Marx, Benjamin, and Derrida (SUNY Press, 2005) and Taking Turns with the Earth: Phenomenology, Deconstruction, and Intergenerational Justice (Stanford University Press, 2018). He coedited Reason and Emancipation (Humanity Books, 2007) and Eco-Deconstruction: Derrida and Environmental Philosophy (Fordham University Press, 2018). He has published a range of articles and translated such authors as Heidegger, Gadamer, and Habermas into English. He has been a Humboldt Fellow in Frankfurt and a Visiting Research Professor in Kyoto. Search for other works by this author on: This Site Google CR: The New Centennial Review (2019) 19 (3): 35–64. https://doi.org/10.14321/crnewcentrevi.19.3.0035 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn MailTo Permissions Search Site Citation Matthias Fritsch; From Bio- to Eco-Deconstruction. CR: The New Centennial Review 1 November 2019; 19 (3): 35–64. doi: https://doi.org/10.14321/crnewcentrevi.19.3.0035 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All Scholarly Publishing CollectiveMichigan State University PressCR: The New Centennial Review Search Advanced Search The text of this article is only available as a PDF. © Michigan State University Board of Trustees Article PDF first page preview Close Modal You do not currently have access to this content.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.555
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.008

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 head0.279
Teacher spread0.229 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2019
Admission routes2
Has abstractyes

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