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Record W2160153432 · doi:10.1177/096746080100800101

Ghostly Footsteps: Voices, Memories and Walks in the City

2001· article· en· W2160153432 on OpenAlexaboutno aff
David Pinder

Bibliographic record

VenueEcumene · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicSpatial and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSubjectivityUnconscious mindRepresentation (politics)SociologyVisual artsFocus (optics)Set (abstract data type)AestheticsHistoryMedia studiesArtPsychologyComputer sciencePsychoanalysisLawEpistemologyPoliticsPolitical science

Abstract

fetched live from OpenAlex

This paper is concerned with urban walking and the work of contemporary artists and writers who take to the streets in order to explore, excavate and map hidden spaces and paths in the city. The focus is on an audio-walk by the Canadian artist Janet Cardiff entitled The missing voice (case study B), which is set in east London. Connections are also drawn with other recent projects in the same area by Rachel Lichtenstein and Iain Sinclair. The paper discusses how these artists raise important issues about the cultural geographies of the city relating to subjectivity, representation and memory. Cardiff’s audio-walk in particular works with connections between the self and the city, between the conscious and unconscious, and between multiple selves and urban footsteps. In so doing, she directs attention to the significance of dreams and ghostly matters for thinking about the real and imagined spaces of the city.

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0120.021
Scholarly communication0.0080.006
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.036
GPT teacher head0.315
Teacher spread0.279 · 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 designQualitative
Domainnot available
GenreEmpirical

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

Citations92
Published2001
Admission routes1
Has abstractyes

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