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Enregistrement W4244958194 · doi:10.14240/jmhs.v5i4.108

DHS Overestimates Visa Overstays for 2016; Overstay Population Growth Near Zero During the Year

2017· article· en· W4244958194 sur OpenAlex

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Notice bibliographique

RevueJournal on Migration and Human Security · 2017
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueCanadian Policy and Governance
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésHomeland securityFiscal yearPopulationDemographyDemographic economicsGeographyPolitical scienceEconomicsSociology

Résumé

récupéré en direct d'OpenAlex

For years, noncitizens who fail to abide by the terms of their nonimmigrant (temporary) visas were not widely recognized as major contributors to the US undocumented population. Yet since 2005, the ratio of overstays to illegal entries across the border has increased rapidly as the number of border crossings dropped to 1970s levels. As a result, the inflow of overstays has exceeded border crossers for nearly a decade. These developments highlight the importance of accurate and timely estimates of overstays.In 2017, the US Department of Homeland Security (DHS) released a report, Fiscal Year 2016 Entry/Exit Overstay Report, showing estimates of overstays, by country, for the 50.4 million nonimmigrants admitted in fiscal year 2016 (DHS 2017). At the end of the fiscal year, DHS had not verified the departure of 628,799 nonimmigrants.[1]The Center for Migration Studies (CMS) compared the DHS overstay estimates to CMS’s estimates of the number of undocumented residents that arrived in the past few years. Data were available to make the comparisons for 133 countries; these countries account for 99 percent of all overstays. The major findings include the following:For 90 of the 133 countries, the DHS and CMS estimates differ by less than 2,000, and the correlation between the estimates for those 90 countries is .97, which indicates a very close mutual relationship.The DHS estimates of overstays for Canada are far too high.The DHS estimates greatly exceed the CMS estimates for about 30 countries, half of them participants in the US Visa Waiver Program (VWP).[2]Slightly more than half of the 628,799 reported to be overstays by DHS actually left the country but their departures were not recorded.After adjusting the DHS estimates to take account of unrecorded departures, as well as departures in 2016 of overstays that lived here in 2015, overstay population growth was near zero in 2016.Thus, while overstays account for a large percentage of the newly undocumented, they represent less than half (44 percent) of the overall undocumented population, and they are less likely than illegal border crossers to be long-term residents.The country-specific figures shown here should help DHS focus its efforts on improving the verification of departures of temporary visitors. Finally, these comparisons indicate that the DHS estimates do not provide a sound basis for making decisions about admission to, or continuation in, the VWP. [1] The 628,799 figure refers to nonimmigrants that arrived in 2016 and whose departure had not been verified by the end of 2016. Thus, as demonstrated in this paper, it includes nonimmigrant admissions whose departure was not verified and actual overstays.[2] The US Visa Waiver Program (VWP) is described at https://www.dhs.gov/visa-waiver-program, as follows: “The VWP, which is administered by the Department of Homeland Security (DHS) in consultation with the State Department, permits citizens of 38 countriesto travel to the United States for business or tourism for stays of up to 90 days without a visa. In return, those 38 countries must permit US citizens and nationals to travel to their countries for a similar length of time without a visa for business or tourism purposes.”

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Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies, Communication savante
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,746
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0060,000
Communication savante0,0010,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,024
Tête enseignante GPT0,321
Écart entre enseignants0,298 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle