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Record W4391399118 · doi:10.3138/9781487535032-007

3 Against the Construction State: Korean Pro-greenbelt Activism as Method

2019· book-chapter· en· W4391399118 on OpenAlexfundno aff
Laam Hae

Bibliographic record

VenueUniversity of Toronto Press eBooks · 2019
Typebook-chapter
Languageen
FieldSocial Sciences
TopicAsian Industrial and Economic Development
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsState (computer science)Computer scienceAlgorithm

Abstract

fetched live from OpenAlex

On the afternoon of 30 July 1999, a protest and counter-protest spectacle unfolded in Seoul Station Plaza, located in Seoul's central business district.Five hundred protesters from all over the country were railing against legislation that the Kim Dae-Jung government had just announced, an act that mandated the revision of greenbelt laws in the direction of deregulation.They demanded the resignation of the head of the Ministry of Construction and Transportation (MOCT), as well as the annulment of the new act.These protesters were social and environmental activists from about 160 activist organizations that constituted the umbrella group People's Action for Saving Greenbelts (PASG, Geurinbelteu Salligi Gungmin Haengdong).This was an unusual scene, one in which the riot police were guarding protesters, who were chanting anti-government slogans, from the counter-protesters, who were physically and verbally assaulting the activists.Anger, even fury, was intense among the counter-protesters, and Seoul Station Plaza was filled with the smell of the broken eggs that they had thrown at the protesters.The counter-protesters comprised mainly residents and landlords in the greenbelts, most of whom were members of the Korea Greenbelts Association (Jeon-guk Gaebaljehan-guyeok Juminhyeophoe), which had persistently demanded the abolition of greenbelts in Korea. 1 This protest and counter-protest spectacle (and many similar ones over greenbelt deregulation) was a moment that expressed the contradictions of unfolding post-Cold War geopolitics conjoined with

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 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 score0.986
Threshold uncertainty score0.949

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.246
Teacher spread0.211 · 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.

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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