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Record W6902077170 · doi:10.6075/j0s46rvj

WhiteHorse Storyboard Painting. In Art of Science

2021· dataset· en· W6902077170 on OpenAlexaboutno aff

Bibliographic record

VenueUC San Diego · 2021
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsBayStoryboardPaintingLine drawingsNatural (archaeology)Government (linguistics)Resource (disambiguation)Narrative

Abstract

fetched live from OpenAlex

Caption: Clam Diggers Working the Great South Bay, Long Island, NY Participant category: Faculty/Scientist Department: Urban Studies and Planning The Great South Bay "StoryBoard Painting" is a form of research communication that sets the stable for discussion about the theory and practice of Bioregionalism. I co-owned and operated the White Horse bay boat featured in the painting foreground with a partner of mine for many years as clam diggers on the Great South Bay (Long Island, NY). My experience on the bay as a workspace fired up my lifelong interest in the use and management of common-pool resources. With conservation practices in place for harvesting clams, the bay kept many people (young and older alike) gainfully employed for decades. Sadly, red tide (suffocating algal blooms) and other forms of ecosystem degradation have decimated the Bay’s clamming industry. The loss is not only economic (loss of jobs), it is also a loss of culture and tradition. A diverse group of concerned citizens, clam diggers, local government agencies, business people, conservationists, and others have been working hard on various restoration initiatives, with mixed results. Some very hopeful signs have been dashed by ongoing red tide events, and the difficulties diverse groups face when trying to collectively establish viable common pool resource management/governance practices). The painting is a storyboard in so far as it provides a visual for celebrating the benefits historically provided by the Bay (clams, healthy livelihood). And it prompts discussion of what it can be in the future if reclaimed --coupling human and natural systems in resource-conserving ways. Note we dug the clams with tongs by hand without large mechanical fossil fuel-driven dredges. This was by design. Digging using human labor power alone is a resource-conserving, regenerative ecosystem approach to harvesting clams. Fossil fuel-powered dredging floods the market with clams, causes prices to drop while damaging the bay bottom and the sustainability of clamming as an industry. The White Horse is long gone now, its old wooden planks part of the earth again –it was built in 1922. In this storyboard painting, the White Horse in the sky symbolizes robust living biopower (horsepower). Humanpower is what clam diggers used to harvest the clams in this period (1970s). Common pool resource conservation by an intentional restriction on the type of power and technology used in harvesting resources is an artform in regulatory innovation. This image celebrates the value of human power as an element in a sustainable and regenerative approach to common-pool resource management.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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: Dataset · Consensus signal: Dataset
Teacher disagreement score0.006
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.006

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 head0.019
GPT teacher head0.280
Teacher spread0.261 · 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
GenreDataset

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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