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Record W7058028397

MAPS OUT OF PLACE: DISPLACING CARTOGRAPHY IN THE REALM OF CONTEMPORARY ART

2015· book-chapter· en· W7058028397 on OpenAlexfundno aff

Bibliographic record

VenueNova Science Publishers (Nova Science Publishers, Inc.) · 2015
Typebook-chapter
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersEuropean University AssociationRegione MoliseAgence Universitaire de la FrancophonieSemmelweis EgyetemEötvös Loránd TudományegyetemVrije Universiteit BrusselUniversité de LilleH2020 European Research CouncilUniversità degli Studi di Cagliari
KeywordsNothingRealmPoliticsGeopoliticsPower (physics)Ideal (ethics)Value (mathematics)Function (biology)
DOInot available

Abstract

fetched live from OpenAlex

As Brian Harley wrote: “maps are too important to be left to cartographers alone” (2001: 239). Not for nothing maps have played a pivotal role as weapons of imperialism, as discursive formations disciplining the link between academic practice and political power and acting as social hieroglyphics in the words of Marx. The aim of this paper is plotting a course towards a divergent use of map-making as creative process and as a set of tactics to destabilize, challenge and re-imagine geographical mapping practices, moving beyond\behind their direct link with power, war and the male Western “episteme”. What is at stake in this provisional critical route is to understand what function and dysfunction, epistemological possibilities or aporias can affect the “modern cartographic ideal” when we displace maps in the world of contemporary art. For instance, looking at those works where the geometry of power is revealed, the bodies strike back, geopolitics and intimate spaces act as a singularity and maps eventually crumble. The value of “deterritorialised epistemologies” (Rogoff 2001) is the chance, sometimes risky, to grasp those alternative representational practices that can emerge through the strategic opening of boundaries of different disciplines. After all, as Edward Said (2000) reminds us, “being out of place” - in this circumstance on the blurred border or in-between different fields of knowledge - can be an ideal condition to deconstruct, blemish and rebuild languages and practices of research.

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)0.018
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.880
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0180.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.006
Science and technology studies0.0000.012
Scholarly communication0.0040.007
Open science0.0090.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0190.000

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 head0.068
GPT teacher head0.311
Teacher spread0.243 · 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 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
Published2015
Admission routes1
Has abstractyes

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