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Record W7060695439

Crisis Pricing

2025· article· en· W7060695439 on OpenAlexaboutno aff

Bibliographic record

VenueEmory law journal · 2025
Typearticle
Languageen
FieldEngineering
TopicSuperconducting Materials and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsValue (mathematics)Government (linguistics)Function (biology)Quarter (Canadian coin)Free marketControl (management)Financial crisisSocial control
DOInot available

Abstract

fetched live from OpenAlex

Extraordinary times beget extraordinary measures. Multiple national emergencies during the past quarter century have generated a pitched debate as to whether, and to what extent, a crisis justifies deviations from fundamental legal rules. That debate has often focused on constitutional law and has produced sharply divergent views. Some theorists advocate a “business-as-usual” approach, eschewing emergency deviations, but societies rarely hold that course. More pragmatic scholars would permit some emergency measures but also defend fundamental social structures that have great value even during emergencies. Emergencies, however, pose challenges not only to constitutional rules but to law generally, including the basic structures of law governing commerce. In ordinary times, most developed countries rely on markets rather than government edicts to control the exchange of goods and services. One great benefit of markets is that they distill vast quantities of information into easily understood signals—prices—that help individuals and firms decide what to buy and sell. Yet deeply held social norms against profiting from others’ hardships during emergencies frequently lead governments to impose price controls, antigouging laws, and other crisis pricing rules that supplant markets, destroy the informational value of market prices, and produce long queues, hoarding, and illicit side markets that can deepen rather than ameliorate the emergency. More pragmatic approaches are needed for crisis pricing, and one promising approach is “zero-profit pricing”—an approach that can accommodate social norms against profiting off a crisis and yet still preserve the extraordinarily important informational function of market pricing. Zero-profit pricing has antecedents in common law crisis doctrines such as the necessity defense and general average contribution; may be more equitable and more efficient than existing approaches to emergencies (including a business-as-usual approach); and, most importantly, can minimize rather than exacerbate the misery caused by a crisis.

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)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.380
Threshold uncertainty score0.884

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0080.007
Open science0.0020.003
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.3800.115

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 head0.010
GPT teacher head0.236
Teacher spread0.226 · 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.

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
Published2025
Admission routes1
Has abstractyes

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