MétaCan
Menu
← Retour à la cohorte
Enregistrement W7009101851

Detecting Human Trafficking: Past and Future

2011· article· en· W7009101851 sur OpenAlexaboutno aff

Notice bibliographique

RevueeYLS (Yale Law School) · 2011
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueSex work and related issues
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésTypologyEquity (law)Human resourcesReading (process)Financial servicesHuman services
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Event Description Human Trafficking is a massive and global problem that threatens the lives and wellbeing of innumerable people every year. In this program, panelists will discuss the problem of human trafficking, and how human traffickers can be detected and stopped through the use of financial transactions and data. CLE Reading Materials Speaker Biographies Bill Cloninger has been a Senior Investigator in KeyBank’s AML Investigations Unit since 2005. This "second career" follows over 20 years of wide-ranging banking managerial experience with Wells Fargo Bank, Crocker National Bank, Western States Bankcard Association and Bracton Corporation, a merchant banking and private equity firm owned by the UK clearing bank, Midland Bank plc. Mr. Cloninger is the founder and co-chairman of the ACAMS Northern Ohio Chapter, founded in 2014. The chapter was awarded the ACAMS Chapter of the Year Award in 2017. ACAMS also honored Mr. Cloninger in 2016 by naming him the “ACAMS Professional of the Month” for April 2016. Outside of banking, Mr. Cloninger is a World and US National record-setting hot air balloon pilot and an avid bicyclist. Phil DeLuca is Senior Vice President and Director of Compliance Controls at U.S. Bank. Prior to joining U.S. Bank, he led the AML investigations department of a large global bank where he and his team pioneered the use of issue-based typology driven investigations. Mr. DeLuca has over 30 years of financial services investigations management experience and has conducted and managed numerous high profile/sensitive anti-money laundering/counter-terrorist financing investigations. He has partnered with all levels of law enforcement to develop leading-edge investigative strategies and has been recognized by the highest levels of government for his leadership and expertise in leveraging an issue-based investigation approach to identifying data characteristics that are potentially indicative of human trafficking. In 2012, Mr. DeLuca was invited to present at the White House Forum to Combat Human Trafficking with a panel of colleagues from law enforcement and the technology industry. Mr. DeLuca regularly advises industry, government, and law enforcement agencies on typology development and data interrogation techniques to be more proactive and productive in detecting illicit financial activity. Daniel M. Polar is Director, Marketing Planning - Financial Crime Compliance for LexisNexis® Risk Solutions. He is responsible for defining strategies in the United States and Canada that deliver innovative compliance technology combined with comprehensive financial intelligence that enable financial institutions and corporate clients to efficiently and effectively comply with relevant governmental regulations. Polar maximizes the company’s core capabilities including vast data assets in both the physical and digital realms. By leveraging industry-leading big data technology, the solutions are designed and implemented to uncover hidden and indirect risks in customer portfolios. This information is used to streamline and automate customer acquisition and monitoring functions based on a holistic view of each customer record. Prior to joining LexisNexis® Risk Solutions in 2005, Daniel worked in the banking industry and focused on commercial and consumer underwriting, compliance, and fraud prevention with an emphasis on BSA/AML Compliance. Maya Simek is a clinical law professor and co-director of Case Western Reserve’s Health & Human Trafficking Clinic. She also serves as managing legal director at Equality Ohio, where she developed and is now supervising a state-wide legal clinic for the lesbian gay bisexual transgender queer (LGBTQ+) community. Simek focuses her practice on legal issues impacting the LGBTQ+ community and human trafficking prevention and victim redress. Her other areas of interest include community lawyering and the importance of interdisciplinary collaboration, particularly with social services, on the efficacy of legal practice. The focus on these areas of interest inspired Simek’s spearheading of a law clinic for individuals affected by HIV/AIDS engaging in case management services at the Nueva Luz Urban Resource Center in 2012. Simek earned her JD in 2010 from Cleveland-Marshall College of Law, her MSSA in 2007 from Case Western Reserve’s Mandel School of Applied Social Sciences, and her BS in 2000 from John Carroll University. Simek is admitted to the bar in Ohio and California, and she is an Ohio Licensed Independent Social Worker with Supervision designation (LISW-S). Angel Nguyen Swift is Head of Conduct Management for Wells Fargo where she leads a team responsible for ensuring employees act ethically on behalf of Wells Fargo, its customers, and employee base. Part of the Enterprise Customer Excellence group within the Chief Operations Office, the group provides enterprise-wide conduct functions, including the Ethics program, the Insider Threat program, enterprise investigations, and operational reporting, supporting the company in managing conduct-related issues. Swift is an experienced leader in compliance and financial crimes with more than 18 years helping guide financial institutions in developing, enhancing and remediating financial crime compliance programs. Before joining Wells Fargo, she held multiple leadership, consulting, and advisory positions, including serving in senior leadership roles focused on financial crimes and compliance with American Express and Enigma Technologies. She also served as Assistant District Attorney of New York in the Identity Theft Unit where she helped establish a team of prosecutors with expertise in, and responsibility for, prosecution of major cases of identity theft and cyber-crime. Swift is based in New York City and is the Founder and Executive Director of Stand Together Against Trafficking, Inc. (STAT), a non-profit organization that leverages technology and data concepts to share collaborative intelligence on financial indicators of human trafficking. She also serves on the Board of Directors for Polaris, the leading anti-human trafficking, non-profit organization, which is responsible for operating the U.S. National Human Trafficking Hotline, and deploying data-driven strategy across the industry. She holds a Juris Doctor from Pace University School of Law and a Bachelors of Arts in English from the University of Miami.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,007
score de la tête « metaresearch » (Gemma)0,015
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,047
Score d'incertitude au seuil0,158

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0070,015
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0030,003
Études des sciences et des technologies0,0030,001
Communication savante0,0070,007
Science ouverte0,0020,005
Intégrité de la recherche0,0040,006
Charge utile insuffisante (le modèle a refusé de juger)0,0470,019

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 Opus0,023
Tête enseignante GPT0,273
Écart entre enseignants0,250 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2011
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueeYLS (Yale Law School)→Même sujetSex work and related issues→Travaux en français237 207→