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Record W2076558719 · doi:10.1191/1743872105lw001oa

Making History: Representation and ‘Forgetting to Forget’

2005· article· en· W2076558719 on OpenAlexaff
Catherine Kellogg

Bibliographic record

VenueLaw Culture and the Humanities · 2005
Typearticle
Languageen
FieldArts and Humanities
TopicPhilosophy, Ethics, and Existentialism
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsForgettingConsciousnessNarrativeRepresentation (politics)HegelianismReading (process)EmancipationPoliticsEpistemologyRecallPsychoanalysisHistoryAestheticsPhilosophyPsychologyCognitive psychologyLinguisticsLawPolitical science

Abstract

fetched live from OpenAlex

This paper attempts to delink a politics of emancipation from a narrative of hope. It does so through examining the strong link between our persistent desire for a progressive notion of history, and the peculiar kind of memory at work in our practice of historical consciousness, that I call here ‘forgetting’ to forget. Following from a reading of Freud, Marx and Hegel, I suggest that the past which issues from progressive ‘historical consciousness’ is not the origin of that memory, but rather its illusory effect. Using Jacques Derrida's notion of the ‘revenant’ I argue that the ghost in the ‘machine’ of historical consciousness is none other than the progressive notion of history we inhabit, in which we can no longer believe, but whose loss we cannot fully metabolize.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.889
Threshold uncertainty score0.872

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.123
GPT teacher head0.286
Teacher spread0.163 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2005
Admission routes1
Has abstractyes

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