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Record W4200125400 · doi:10.1386/public_00071_1

Plant Stories are Love Stories Too: Moss + Curation

2021· article· en· W4200125400 on OpenAlexaboutno aff
Toby Katrine Lawrence, Michelle Jacques

Bibliographic record

VenuePublic · 2021
Typearticle
Languageen
FieldPsychology
TopicAnimal and Plant Science Education
Canadian institutionsnot available
Fundersnot available
KeywordsPraxisIndigenousReflexivityContext (archaeology)SociologyDisciplineColonialismMedia studiesVisual artsArtHistoryAnthropologyPolitical scienceSocial scienceEcologyArchaeology

Abstract

fetched live from OpenAlex

In 2020, after a year of dreaming, we officially embarked on the development of Moss Projects: Curatorial Learning + Research, an educational and philosophical space that aims at peeling away the colonial layers of the art museum, within the context of Turtle Island (now North America), to imagine something else. This initiative supports peer-to-peer pedagogies alongside Indigenous, Black, and People of Colour-led and allied inquiry and practices, valuing diverse knowledge systems and modes of organization beyond dominant parameters of curation, art, and art history. As white settler and Black Canadian curators, we are founding Moss Projects as a collaborative, reflexive, and praxis-based process, utilizing our professional resources for curatorial incubation and to establish spaces and mechanisms for sharing cross-cultural and cross-disciplinary methodologies.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.351
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0020.001

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 head0.081
GPT teacher head0.325
Teacher spread0.244 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2021
Admission routes1
Has abstractyes

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