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The Mediterranean Fruit Fly and the United States: Is the Probit 9 Level of Quarantine Security Efficient?

2007· article· en· W2050467543 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Journal of Agricultural Economics/Revue canadienne d agroeconomie · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect behavior and control techniques
Canadian institutionsnot available
FundersU.S. Department of AgricultureU.S. Environmental Protection Agency
KeywordsQuarantineInfestationProbit modelMediterranean climateWelfareEconomicsGeographyDemographyAgricultural economicsEconometricsBiologyEcologyHorticultureSociology

Abstract

fetched live from OpenAlex

Cold treatment periods, and associated levels of quarantine security, that maximize net US welfare under USDA's current medfly detection and control program are examined using a deterministic bioeconomic optimization model . As anticipated, the efficient level of quarantine security is shown to increase with indices of medfly pressure (initial infestation rates) in areas in which the medfly is known to exist (the QCs) . Efficient cold treatment periods and weighted mean medfly survival rates are 8, 11, and 12 days and 5.0 × 10 –2 , 1.7 × 10 –3 , and 5.2 × 10 –4 under low, moderate, and high initial infestation rates, respectively. When model output is averaged across initial infestation rates, an 11‐day cold treatment period, resulting in a weighted mean medfly survival rate of 1.6 × 10 –3 , maximizes US welfare. These findings suggest that the current minimum cold treatment period of 14 days and the current objective of US cold treatment policy—the probit 9 level of quarantine security—are economically inefficient. Adopting the 11‐day cold treatment period is shown to increase US social surplus by an annual $24.9 million, of which $21.5 and $3.4 million would accrue to US consumers and producers, respectively, and QC producer surplus by an annual $24.8 million. Nous avons examiné, à l’aide d’un modèle déterministe d’optimisation bioéconomique, les périodes de traitement par le froid et les niveaux de quarantaine de sécurité connexes qui maximisent le bien‐être net des États‐Unis d’après le programme actuel de détection et de lutte contre la cératite, instauré par le USDA. Comme prévu, le degré de quarantaine de sécurité efficace augmente en fonction des indices de pression des ravageurs (indices d’infestation initiale) dans les pays où la cératite est présente (pays dont les produits sont soumis à une quarantaine). Selon qu’il s’agit d’un indice d’infestation initiale faible, moyen et élevé, les périodes de traitement par le froid efficaces sont de 8, 11 et 12 jours respectivement et les taux de survie moyens pondérés de la cératite de 5,0 × 10 –2 , 1,7 × 10 –3 , et 5,2 × 10 –4 respectivement. Lorsque l’on établit la moyenne pondérée de la sortie du modèle par taux de survie, une période de traitement de 11 jours et un taux de survie moyen pondéré de 1,6 × 10 –3 maximisent le bien‐être des États‐Unis. Ces résultats donnent à penser que la période minimale actuelle de traitement par le froid de 14 jours et la politique actuelle concernant le traitement par le froid (la norme probit 9) sont économiquement inefficaces. L’adoption d’une période de traitement par le froid de 11 jours augmenterait le surplus collectif des États‐Unis de 24,9 millions (M$) par année, dont 21,5 M$ et 3,4 M$ reviendraient aux consommateurs et aux producteurs des États‐Unis respectivement, et un surplus de 24,8 M$ par année aux producteurs des pays dont les produits sont soumis à une quarantaine.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.760
Threshold uncertainty score0.884

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.040
GPT teacher head0.193
Teacher spread0.153 · 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