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Record W7005897770

SITTING IN A FLOWERBED 4695 MILES AWAY : Paper delivered at Dartington's 'Sentient Performativities' Conference.

2022· other· en· W7005897770 on OpenAlexaboutno aff

Bibliographic record

VenueLancaster EPrints (Lancaster University) · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)Filter (signal processing)TSG101Frame (networking)FrugalityCircumstantial evidence
DOInot available

Abstract

fetched live from OpenAlex

'Three-Point-Transmissions' is a collaborative work between myself and Carly Butler funded by Canada Council for the Arts. The project operates as a conversation between three locations and their inhabitants; Sainte- Croix-de-Marreiulle, France, Framlingham Uk, and Ucluelet Canada. The work involves a number of live-streams, trail-cam footage, zoom communique and video. We seek to use video to deepen the virtual experience of the locations. In contrast to ‘lockdown’ strategies employed as a replacement for real interaction, we have always seen our project as a way to attempt meaningful engagement with place within a virtual space. In conjunction with our work on the Arts Territory Exchange, we were developing a Virtual-Residency program pre-Covid (https://www.artsterritoryexchange.com/ate-virtual) that identified the far reaching post- colonial implications of privileged western travel, and also sought to address issues around climate change/ sustainability, calling for a re-evaluation of the idea of the 'artist as traveller' with roots in the colonial and ethnographic gleanings of the explorer. We are working to expand the possibilities of proxy-experience whilst also providing new insights into our own backyards; the trajectories and mobilities already inherent in the plants and animals they contain. Looking to the proximal and how to re think relationships with what is right in front of us - Puig de la Bellacasa calls for 'an ethico-political commitment to neglected things, and the effective remaking of relationships with-our objects'( 2017) towards generating affective relationalities of care. This also feeds into how we develop ethical relationships with distant places.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.174
Threshold uncertainty score0.583

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.003
Scholarly communication0.0050.003
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.1740.023

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 head0.015
GPT teacher head0.199
Teacher spread0.184 · 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 designTheoretical or conceptual
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

Citations0
Published2022
Admission routes1
Has abstractyes

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