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Enregistrement W4360609847 · doi:10.1080/14759551.2023.2182499

Beyond politics of difference: intersectionality across time and place

2023· article· en· W4360609847 sur OpenAlexaff
Jasmin Mahadevan, Henriett Primecz, Albert J. Mills

Notice bibliographique

RevueCulture and Organization · 2023
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueGender Politics and Representation
Établissements canadiensSaint Mary's University
Organismes subventionnairesnon disponible
Mots-clésIntersectionalitySociologyPoliticsPlace makingMetatheoryGender studiesEpistemologyPolitical sciencePhilosophyLaw

Résumé

récupéré en direct d'OpenAlex

Prior to the onset of the COVID-19 pandemic, nationalist and rightist movements were on the rise in many parts of the world.Far-right parties for example gained support throughout Continental Europe (Albertazzi and van Kessel 2021) and in the United States (The House January 6th Committee 2023).In many ways, politics of difference were evoked to gain political power, at the heart of which lay negative characterizations of immigrants, including those otherwise deemed as qualified for immigration status.The most affected were those characterized as 'non-Western' individuals during what was labelled as a threatening 'immigration crisis' in most of the 'developed world' (Holmes and Castañeda 2016).In terms of women's rights, abortion rights were dismantled in countries such as Poland, Italy and the USA, and women's roles were re-traditionalized by the pandemic (Primecz 2022).During and after the pandemic, these trends and sentiments mingled with conspiracy theories and anti-democratic movements, brought together and further churned up by right-wing social media (Demmel 2021).'Where is this world going?', one may ask, 'and what is it that still binds people together?'In light of this 'feeling of the times', we would contend it is the responsibility of critical scholarship to investigate how people construct, perceive and affirm those who are different, and to unveil the mechanisms which underlie these processes.Why is a certain difference chosen as relevant?In whose interests is it?What would be the alternatives?And what are the consequences?For example, in many countries, residents are asked to self-identify in terms of race.However, what counts as 'race' differs across time and place.'Irish' used to be are racial identifier (MacManus 1921)but no longer is, and categories such as 'Latin' or 'Hispanic', too, are power-laden in an equally ambiguous and fleeting way (Faria, Ibarra-Colado, and Guedes 2010).Also, while there is the idea that a person's self-identification in terms of race overweighs how others see them (the ascriptions of race), putting self-identification first is nonetheless not unproblematic.Adding further complexity to the politics of difference, the same issue might be labelled as 'racial' in one cultural context, such as North America, but as 'ethnic' in another one, such as Continental Europe (Lentin 2008).Thus even if there is no awareness that Muslim migrants in presumably ethnic homogeneous countries such as Germany are met with suspicion because of their 'non-Whiteness' and 'non-Westernness', this phenomenon still constitutes a problematic racialization with real effects on those who are subjected to it (e.g.Mahadevan and Kilian-Yasin 2017).For example, research shows that Migrant women wearing headscarves are heavily discriminated when seeking qualified jobs in Germany and Austria (Weichselbaumer 2016).Muslim migrant women thus face double discriminations: those of race and those of gender.Yet, in other cases, Muslim women are more included than Muslim men in Western workplaces, because women are considered to be the 'safer choice', independently of their religiosity.

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 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 candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,618
Score d'incertitude au seuil0,218

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 technologies0,0000,000
Communication savante0,0000,000
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 Opus0,016
Tête enseignante GPT0,310
Écart entre enseignants0,294 · 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 tête enseignante, pas un consensus.

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

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

En bref

Citations3
Publié2023
Routes d'admission1
Résumé présentoui

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