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Record W4405214135 · doi:10.26522/ssj.v18i4.4766

To Marsh: Propositions for Relating Otherwise (Creative Intervention)

2024· article· en· W4405214135 on OpenAlexaffvenueabout
Andrea Vela-Alarcón, Nicholas Brown-Hernández

Bibliographic record

VenueStudies in Social Justice · 2024
Typearticle
Languageen
FieldPsychology
TopicCreativity in Education and Neuroscience
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMarshIntervention (counseling)EconomicsSociologyBusinessPolitical sciencePsychologyEcology

Abstract

fetched live from OpenAlex

To Marsh is a web-based project working as a conduit for co-creation, sympoiesis, and "making together" through different creative practices (see https://tomarsh.ca/).It was created in 2022 in response to Robin Wall Kimmerer's (2013) invitation to engage with "the grammar of animacy:" a grammar that charts relations with other-than-human beings by reminding us of their sentience, agency and role as knowledge holders.Through a series of slow walks to the Marsh, currently known as "Cootes Paradise" in Hamilton, Ontario, Canada, the artists developed various responses to these emerging relations in the form of illustration, sound, code, and text-based propositions.These responses, hosted on the To Marsh website, explore multiple ways of relating to the natural world.Over the years, the Marsh has been subject to abuse and neglect, most recently (2014)(2015)(2016)(2017)(2018) in the form of a 24-billion litre raw sewage spill.While physical containment efforts are important and ongoing, this project aims at a different kind of re-mediation, in which we learn to recognize and relate to the Marsh as a complex living being.This project is also a proposition offering online visitors the opportunity to pursue more intimate ways to relate to the land they are on, and, in turn, to build reworlding collaborations through creative practices.In this text, we outline the theoretical underpinnings of a project that is a creative practice of reworlding as it reimagines and challenges colonial ways of knowing that foreground anthropocentrism, human exceptionalism, and the objectification of the otherthan-human world.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.594
Threshold uncertainty score0.325

Codex and Gemma teacher scores by category

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

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 head0.135
GPT teacher head0.520
Teacher spread0.385 · 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.

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

Citations1
Published2024
Admission routes3
Has abstractyes

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