Pathogenic Policing: Immigration Enforcement and Health in the US South by NolanKline, New Brunswick, NJ: Rutgers University Press. 2019. pp. 215.
Notice bibliographique
Résumé
Pathogenic Policing: Immigration Enforcement and Health in the US South is a detailed ethnographic account of undocumented Latinx individuals living in Atlanta, Georgia, in the mid-2010s.Kline describes the various intersectionalities of race, legal status, and gender as they result in differential access to health and well-being in the Latinx community; many of the problems this community faced were created and exacerbated by the immigration enforcement strategies used by the local police force.Kline starts his ethnography with a historical review of immigration policy surrounding the various influxes of (mostly) Mexican immigrants coming to work in the United States in agriculture, construction, and other low-paid service sector industries.He theoretically situates his discussion within the Foucauldian notion of biopower, focusing on power and control over groups of people by categorizing them as "illegal" and therefore as not deserving of basic human needs such as adequate nutrition, safety, and medical care.The fear and trauma that result from the enactment of specific laws, like the oppressive HB 87 which was passed in 2011 in Georgia, resulted in a specific constellation of hurts to undocumented individuals living in that state.The second chapter of the book is an interesting ethnographic look into how protests against HB 87 took place and how the protests were effective in changing some of the most negative aspects of that law.Through an anthropological perspective, we are invited into the world behind the scenes as Kline describes working with grassroots organizations, attending rallies and hearings in the state legislature during its 2013 session.We meet the organizers of these rallies who have years of experience living and working in the United States; some of them have extensive academic backgrounds in Mexico and they all attest to the difficulties of trying to live in Georgia while being targeted by law enforcement officials for such things as traffic stops and other offenses that would normally be considered minor in nature.They are not minor, however, for undocumented people who were at risk for being deported once their immigration status was known to the authorities.This chapter provides a window into the legislative process surrounding HB 87.This political process is tedious and frustrating, and Kline shows what tenacity it took to challenge the system; even to get an interview with some of the lawmakers was impossible.This is an area that warrants more attention by social anthropologists.In chapters 3 and 4, the focus is more quotidian and some of the most telling ramifications of living in this situation are illustrated here.For instance, Kline takes a detailed look at how the mere act of getting behind the wheel without a US driver's license created stress and ill health for the individuals with whom he was working.The fear of being deported was constant.The police had control over any driver as they could pull over a vehicle for many reasons; at that point they could ask for a valid driver's
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,004 | 0,004 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,003 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,038 | 0,017 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».