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Record W6922230006 · doi:10.11575/prism/48936

BRACKISH - A Transdisciplinary Exploration of Water

2024· other· en· W6922230006 on OpenAlexaboutno aff

Bibliographic record

VenueOpen MIND · 2024
Typeother
Languageen
FieldSocial Sciences
TopicEducation Methods and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsBrackish waterSpace (punctuation)LiminalityEstuaryBrackish marshFaunaLimnology

Abstract

fetched live from OpenAlex

Brackish water is chemically between fresh and saline and may come from mixing of fresh water with seawater where rivers flow into the ocean, from aquifers, or created by human activity. It’s intermediate and dynamic and is associated with some of the world’s most critical ecosystems like estuaries and mangroves. It can be hostile, but on the other hand, the flora and fauna that thrive in brackish water are adapted and versatile. BRACKISH asks, what invitations might the liminal brackish space extend to scholars, creatives, and community members who operate in interdisciplinary spaces? How can this unique coming together inspire us to engage with water through transdisciplinary research and creative practices? Each piece is a unique expression of interactions or relationships with water, but BRACKISH only exists when the individual works come together to share space in the galleries. Your engagement with the visuals, renderings, textures, sounds, and stories is the final element that brings BRACKISH to life and connects us all through the necessity of water. BRACKISH includes representation from the Faculty of Arts, the Faculty of Science, and the School of Architecture, Planning and Landscape, and features: ○ Eliza Housman ○ Karly Ross ○ Kulsum Fatima ○ Megan Leung ○ Traci Berg ○ Uchechukwu Peter Umezurike ○ Veronica Briseño Castrejon in collaboration with Haizel de la Cruz, Veronica Hoil Briseño, Pedro Uc Be, Josue Hoil Briseño, Azael Hoil Briseño, and the organizations: Suumil Móokt’aan with Valiana Aguilar and Angel Ku, Colectivo de comunidades Mayas de Hopelchen Campeche (Collective of Maya communities from Hopelchen Campeche), and Muuch Kaambal ○ April Neuhaus ○ Xue Yan Chan We are grateful to be able to host BRACKISH on the traditional territories of the Treaty 7 peoples and the home of Métis Nation of Alberta Districts 5 and 6. Connections with the landscapes that sustain, challenge, and inspire us flow through the works featured in BRACKISH. The projects that make up BRACKISH share diverse perspectives of water, creating space to think about how our encounters with water are shaped by our intersectional identities. We encourage you to consider your relationship to the natural world and offer gratitude to the Indigenous peoples who have tended to these spaces and places since time immemorial.

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)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.011
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0110.010
Scholarly communication0.0070.006
Open science0.0010.015
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.001

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 head0.188
GPT teacher head0.476
Teacher spread0.287 · 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 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
Published2024
Admission routes1
Has abstractyes

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