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Record W45107754 · doi:10.2307/j.ctv6gqrpt

Death Drive Through Gaia Paris

2007· book· en· W45107754 on OpenAlexfundno aff
Charles Noble

Bibliographic record

VenueUniversity of Calgary Press eBooks · 2007
Typebook
Languageen
FieldPhysics and Astronomy
TopicSpace Science and Extraterrestrial Life
Canadian institutionsnot available
FundersCanada Council for the ArtsAlberta Foundation for the Arts
KeywordsArtHistory

Abstract

fetched live from OpenAlex

In this collection of poetry, Charles Noble further reins in an already tight form – haiku – only to let loose a “logopoeic” poetry. He presents poems of extraordinary rigour and riddles of wit that are solved by “lifetime” insights – a dialectical poetry that still observes a phenomenological toehold but transcends the limits of locality in recognizing the curled-up-but-everywhere world of media and markets – la Fredric Jameson. And yet, these “haikus” go straight – to “the shock of the naïve.” They turn to a middle ground, in Aristotle’s sense of difficult target. They point to human acts, human reactions, and enact, themselves, a meta-linguistic wrestling, at one with the quarreling couple in the bar hanging on each other’s words and insistent with “what do you mean by [a simple word]?” But they are also implicated in what he calls the death drive (not death wish), which arcs freely over a human life span – think architecture – and which, more radically, in the “pleated/ crossword,” “make[s]/ good// a/ bit/ of/ bad/ infinity,” no expenses, save for that toehold, earth, as he would have it.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other
Teacher disagreement score0.028
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.006
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0280.009

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 head0.028
GPT teacher head0.232
Teacher spread0.204 · 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 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
Published2007
Admission routes1
Has abstractyes

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