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Record W7016078582

Visualizing bird migration: highlighting the relationship between migratory birds and the Toronto region through graphic design practice

2016· other· en· W7016078582 on OpenAlexfundaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2016
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersYork University
KeywordsNatural (archaeology)Artifact (error)Graphic designWork (physics)Design elements and principlesOrder (exchange)
DOInot available

Abstract

fetched live from OpenAlex

Bird migration phenomenon takes place many thousands of meters above the ground and between distant locales and therefore remains largely invisible to human observers. The goal of this thesis project is to bring migration into focus by using environmental graphic design installations that highlight Toronto's role as a stopover site for migratory birds and activating a site on the city's waterfront. The final design artifact is composed of three site-specific elements. The first is a wall-mounted graphic work that functions like a sundial to reveal the cyclical nature of seasonal migration. The second is a boardwalk installation that measures the distances travelled by birds migrating from Central and South America to Toronto. The final component is a map of the primary avian stopover sites in Toronto (hot spots), which encourages visitors to explore the city's natural habitats. \n\nThis thesis offers examples of how graphic design can go beyond traditional awareness campaign tactics to call attention to natural processes in the environment in order to create meaningful connections between citizens and the natural world. Therefore the role of design in facilitating human connection to natural cycles is of paramount importance.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
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 score0.334
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0020.002
Scholarly communication0.0010.010
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.040
GPT teacher head0.225
Teacher spread0.186 · 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.

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
Published2016
Admission routes2
Has abstractyes

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