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Record W4386060381 · doi:10.60162/swamphen.8.16684

Seeping, maintaining, flooding and repairing

2022· article· en· W4386060381 on OpenAlexaboutno aff
Perdita Phillips

Bibliographic record

VenueSwamphen a Journal of Cultural Ecology (ASLEC-ANZ) · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsnot available
FundersGovernment of Western Australia
KeywordsCognitive reframingCulvertThe artsSubject (documents)Space (punctuation)Flooding (psychology)Metropolitan areaUpstream (networking)Political scienceCivil engineeringEnvironmental planningSociologyEngineeringLawHistoryGeographyArchaeologyComputer sciencePsychology

Abstract

fetched live from OpenAlex

This paper outlines the experiences of a short artist in residency called Follow the water at the Vancouver Arts Centre in Albany, Western Australia that began in November-December 2018. Investigating the local network of urban and peri-urban drainage, the project was an attempt to reframe drains from what they are normally seen as—of a way of transferring ‘problems’ to elsewhere—into a space of reparative engagement. Intimate, makeshift walks were taken with drain allies along road culverts and agricultural drains and through snaky, polluted and weedy country. Walks were recorded with cyanotypes and a further cyanotype workshop was conducted with the public on the subject of local watercourses. Whilst being attentive to the local stories of water, settler history and regeneration, the project nevertheless attempted to problematise the current quasi-legal and commonplace notions which see the flow of water leaving a property downstream (and downslope) as being ‘not my problem’. In a small way, this art project works through the “impurity of caring” (that acts of caring contain the wish that it were not so (Shotwell), at the same time that they are entangled) with a tactical move that I have termed “porous repair.” It therefore provides a short example of the complications of thinking through water stories using artistic means.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.600
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.282
Teacher spread0.268 · 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
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

Citations1
Published2022
Admission routes1
Has abstractyes

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