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Record W6931723385 · doi:10.5281/zenodo.7484574

L'herméneutique archivistique : un bien d'archive

2022· article· fr· W6931723385 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsContext (archaeology)Order (exchange)Subject (documents)

Abstract

fetched live from OpenAlex

À l’ère des technologies de l'information et de la communication et de la société documédiale, le processus de domestication des hommes par la technique s’est aggravé en menaçant les conditions de la vie elle-même par l’exposition toujours plus forte au flux menant à la dissolution de toutes les délimitations stables de l’archive mnémotechnique et mnémotechnologique. La philosophie de Nietzsche, prise dans les bouleversements que suppose la technique offre un cadre essentiel pour penser la necessaire synthèse entre archive mnémotechnique et mnémotechnologique. Trois conclusions sont apportées : (1) l’archive en tant que mnémotechnologie ne permet pas d’elle-même le développement de la science sans une instance subjective de la mnémotechnique qui éprouve la souffrance du comprendre à partir de la complexité du divers qui lui est donné à voir; (2) les mnémotechnologies se sont retournées contre la mnémotechnique en imposant un flux absolu et en rendant l’homme foncièrement immobile ne lui permettant plus d’incorporer ce qui lui arrive; (3) la vérité donnée à voir par l’archive mnémotechnologique en tant que fraction du continuum ne peut permettre le développement de la science que par le gai savoir.

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)0.009
metaresearch head score (Gemma)0.014
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 score0.020
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0070.043
Scholarly communication0.0200.014
Open science0.0010.006
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0110.002

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 head0.148
GPT teacher head0.273
Teacher spread0.125 · 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)→Same topicCultural Insights and Digital Impacts→French-language works237,207→