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Sampling as Analysis, Sampling as Symptom

2014· book-chapter· en· W2488381453 on OpenAlexaff
Martin Zeilinger

Bibliographic record

VenueOxford University Press eBooks · 2014
Typebook-chapter
Languageen
FieldArts and Humanities
TopicPhilosophy and History of Science
Canadian institutionsYork University
Fundersnot available
KeywordsSampling (signal processing)Computer scienceEnvironmental scienceStatisticsMathematicsTelecommunications

Abstract

fetched live from OpenAlex

Abstract This chapter represents an attempt to bracket the discourse of private property, authorship, and cultural ownership with which we commonly frame discussions of sampling practices. Instead, the chapter uses psychoanalytical theories of repetition as an alternative framework to counteract the conceptual flattening that often befalls sampling practices when they are accused of infringing intellectual property rights. Exploring this approach in Martin Arnold’s 1998 found footage film Alone. Life Wastes Andy Hardy, an award-winning work of audiovisual sampling, this chapter proposes that the repetition characterizing all sampling works does not require legitimization as an analytical mode of (re-)interpretation or critique. Rather, the repetitions of sampling are symptomatic of culturally, socially, and psychologically productive tendencies that may allow us to work through the alienation characterizing our relationships to cultural expressions bound in repressive circuits of ownership and commodity exchange.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.976
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.070
GPT teacher head0.226
Teacher spread0.157 · 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.

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

Citations2
Published2014
Admission routes1
Has abstractyes

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