Notice bibliographique
Résumé
Abstract Natural hazards such as floods, droughts, and earthquakes do not discriminate, but individuals of varying gender identities are impacted by, experience, understand, and respond differently to disasters. Research on gender in disaster contexts first began in the 1990s and grew to examine topics including gendered vulnerabilities, capacities, women’s rights, and representation. This was bolstered by the rise of global women’s movements and the institutional recognition by international relief agencies and the United Nations of women’s needs and participation in disasters. In addition to the growth of various feminist movements, feminist scholarship in academia challenged the predominance of positivist epistemologies, quantitative methodologies, and male bias in the gathering, analysis, and presentation of data in disaster research. Feminist scholarship aided in the shift in disaster studies from a hazards paradigm to a vulnerability paradigm wherein the study of disasters is no longer confined to the measurement and management of physical forces but also includes the uncovering of the political processes that produce disasters. Feminist scholars began to promote the critical use of self-reflexive, in-depth qualitative methodologies such as ethnography, participatory action research, and activist collaborations with grassroots civic organizations. Such research studies examine power relations and inequalities, and they strive toward realizing emancipatory goals for social justice in the fields of disaster research and practice. Critical disaster research continues to advance in the early 21st century through the persistent questioning of the “natural”-ness of disasters. Despite the great strides in gender studies in disasters, the word “gender” remains predominantly equated with the category of heterosexual women and therefore perpetuates the male–female and nature–culture divides inherent in the Western epistemologies that underlie disaster research. Therefore, scholars who employ postcolonial, antiracist, and decolonial feminist frameworks trouble the coloniality of disasters, theorize, and study the violence of the colonial present on gendered and racialized spaces and bodies. Creative arts-based and participatory methods, including oral histories, photovoice, interviews, theater, body mapping, among others, are used to make visible those who are misrepresented and absent in disaster discourse. Gender and sexual minorities have also been historically neglected in disaster research, and the advancement of queer scholarship has begun to make more visible the lives of non-heterosexual identities in disasters. The conduct of fieldwork, interviews, ethnography, autoethnography, and collaborative and even quantitative methods can be queered or made non-normative through the examination of intimacies, subjectivities, emotions, performativity, relationships, and ethics in gender research. Last, the rise of climate change adaptation studies, policies, and practices also presents similar gaps in gender research. Feminist research methods such as the use of participatory geographic information system mapping challenge technological assessments of climate change adaptation interventions. They aid instead in sustaining a political analysis of power, examining people’s susceptibility to harm, together with processes that maintain this exposure to danger for bodies of different gender identities.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,015 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,005 | 0,005 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,003 | 0,005 |
| Intégrité de la recherche | 0,000 | 0,009 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,001 |
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 tête enseignante, 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 ».