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Record W3046699015

What Do We Know? What Do We Have? What Do We Miss? What Do We Love?

2019· book· en· W3046699015 on OpenAlexaboutno aff
Abbas Akhavan, Zita Cobb, Brenda Draney, Chantal Pontbriand

Bibliographic record

VenueE-Artexte (Artexte) · 2019
Typebook
Languageen
FieldBusiness, Management and Accounting
TopicInnovative Approaches in Technology and Social Development
Canadian institutionsnot available
Fundersnot available
KeywordsRedevelopmentSettlement (finance)LivelihoodOverfishingAsset (computer security)EntrepreneurshipFishingGeographyEconomyHuman settlementPolitical scienceEconomicsArchaeology
DOInot available

Abstract

fetched live from OpenAlex

"Around the world, place-based projects are drawing increasing attention to the pillars of art, design, and economics as important players in the development and redevelopment of the so-called periphery. This publication poses the question: How plausible and effective are these ventures? Jahresring 65 is specific to Fogo Island, an island of approximately 2,500 inhabitants located off the coast of Newfoundland, Canada. A centuries-old cod-fishing settlement, the community’s livelihood was almost devastated in the mid-twentieth century due to industrial overfishing. The island is now experiencing profound social, economic, and cultural transformation, due in part to a recent series of art, social, business, and asset-based community development initiatives. Now, Fogo Island stands as an example of the potential (but also the contradictions) of contemporary alliances between art, design, and social entrepreneurship." -- Publisher's website.

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)0.002
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.021
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0040.007
Scholarly communication0.0100.014
Open science0.0010.003
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0210.018

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 head0.021
GPT teacher head0.243
Teacher spread0.222 · 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
Published2019
Admission routes1
Has abstractyes

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