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Record W4407986013 · doi:10.1017/glj.2024.80

The “Hairs of Hope”: Toward a Fuller Understanding of the Legal, Material, and Social Infrastructure of Infrastructure

2024· article· en· W4407986013 on OpenAlex
Mariana Valverde

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGerman Law Journal · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBusinessLaw and economicsEngineering ethicsPolitical scienceSociologyEngineering

Abstract

fetched live from OpenAlex

Abstract The article has the main aim of utilizing the literature on “fragment urbanism” and case studies in infrastructure from the global South to question the notion—dear to the World Bank and the IMF—that the global South ought to follow the North’s lead in aiming at “the modern infrastructure ideal,” that is, a series of integrated nation-wide networks. That model suits certain needs—electricity, phone service, perhaps Internet—but it doesn’t always work, even if funding can be found, for many other infrastructure needs. What is often thought of as “informal” solutions may in fact deploy more site-specific and community-specific techniques and tools. The article also shows that even in the global North’s most advanced capitalist countries, the lack of overall planning and the absence of needs assessments done before choosing which projects will go ahead mean that infrastructure provision and governance is far more fragmented than the “modern” ideal would suggest. The fact that major projects are usually financed separately, often having their own credit rating, encourages a way of non-evidence based planning that is rife for political interference in infrastructure decision-making. The “art of the deal” is in fact the model for infrastructure projects these days, not the ‘seeing like a state’ that characterized many projects in the post-World War II era.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.626
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.281
Teacher spread0.264 · 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