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Record W7006580776

On Walking: rhythm, repetition, movement

2022· dissertation· en· W7006580776 on OpenAlexaboutno aff

Bibliographic record

VenueOCAD University Open Research Repository (OCAD University) · 2022
Typedissertation
Languageen
FieldEnvironmental Science
TopicSustainable Agricultural Systems Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsExpansiveExhibitionMovement (music)PlacemakingExposition (narrative)Motion (physics)
DOInot available

Abstract

fetched live from OpenAlex

On Walking: rhythm, repetition, movement (March 16-27, 2022) is an exhibition which includes three emerging artists and one collective whose works evolve through a practice of walking. Together, they explore personal and geopolitical readings of space, using walking as a method to measure oneself against a place and interrogate the different ways we can foster expansive connections, create a sense of belonging and examine the imprints that we leave behind as we pass through our surroundings. Artists Naomi Boyd, Anita Cazzola, Abedar Kamgari and the Roving Designers Collective use activities of remembering, tracing, and gathering to propose new ways of seeing and interacting with the world. Through walking, their works layer everyday encounters and interactions to uncover patterns of movement and investigate the porosity of urban spaces. Boyd, Cazzola, and Kamgari expand on these ideas and walk to interrogate their own subjectivities and relationships to land, as settlers and guests in the place now known as Canada. The walking prompts by the Roving Designers Collective invite audiences to actively participate and transform our individual and collective relationships to place through moments of acute awareness and creative reflection.

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)0.001
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.026
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0260.003

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 head0.017
GPT teacher head0.261
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; 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
Published2022
Admission routes1
Has abstractyes

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