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Enregistrement W1582198741

Gender Inequality and School Dropout at the Secondary Level

2012· article· en· W1582198741 sur OpenAlexvenueno aff
Josefina Pantoja Palacios

Notice bibliographique

RevueResources for feminist research · 2012
Typearticle
Langueen
DomaineHealth Professions
ThématiqueHealth and Lifestyle Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésInequalityAttendanceWorkforceSocial inequalityAccess to Higher EducationSociologyPsychologyPolitical scienceDemographic economicsHigher educationEconomicsLaw
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

In Mexico, efforts have been made to guarantee universal basic education. However, social inequities such as gender discrimination persist, limiting access to schools and retention, affecting the development and social future of men and women, although differently. The gender roles, stereotypes, discrimination, and violence that are present in the family, in future expectations, and in the early incorporation of adolescents into the workforce are factors that contribute to school dropout at the secondary level. Introduction Although it is true that almost all countries in Latin America have made efforts to guarantee their children universal access to education, and general statistics point to a reduction of inequality between boys and girls in access to basic education, (1) it is also true that different kinds of inequality are concealed at this level of education, among them gender inequality, hindering school access and retention among adolescents, although this phenomenon affects women differently from men. An example of how inequality in access and retention in basic education persist in Mexico can be found by examining the level of secondary education in the state of Guanajuato, in central Mexico, where we conducted the investigation that constitutes the subject of this article. In recent years the state of Guanajuato has succeeded in broadening attendance in secondary education. In 1990, only 67.1 percent of the state's adolescents ages 13 to 15 attended school; by 2002 the percentage had increased to 79.0 percent. Considerable efforts were made to increase enrollment rates in this age group, but they cannot conceal the fact that slightly more than 20 percent of the state's population in the age group appropriate for secondary education is not in school, based on figures published by the Secretaria de Educacion Publica (Ministry of Public Education)(SEP, Sistesep v5.0). On the other hand, Guanajuato is also among the states that offer the most limited opportunities for students to stay in school and finish secondary education. According to the Instituto Nacional de Estadisticas y Geografia (National Institute of Geography and Statistics) (INEGI), in 2000 Guanajuato was the state with the seventh highest dropout rate (2) nationwide; in 2002, it had risen to fourth place, and by 2005 it fell back to tenth. In general, in all states in Mexico the proportion of males who drop out of secondary school is higher than for women. Yet Guanajuato stands out for having one of the country's highest dropout rates among girls. In the year 2000 it had the ninth highest female desertion rate for girls; by 2002, the state had risen to second place nationwide. (3) In this context, the Instituto de la Mujer Guanajuatense (Guanajuato Women's Institute) (IMUG) requested that Universidad Iberoamericana Leon (UIA Leon) conduct an exploratory investigation to identify, from a gender perspective, academic and extra-academic factors associated with secondary school abandonment in the state of Guanajuato. This study was conducted by a team of UIA Leon researchers from November 2005 through July 2006, with funding and support from the IMUG. (4) The questions that guided this investigation were: * What elements shape the perspective of different school agents on the phenomenon of school dropout? * What responsibility in the emergence and growth of this problem is attributed to schools, families, social context, and students? * What elements are relevant, from a gender perspective, to the factors associated with school dropout? The information gathered was analyzed from a gender perspective, using concepts basic to that perspective: roles, attributes, stereotypes, gender condition and destiny, discrimination, sexism, and gender violence. By using the gender perspective we sought to overcome the traditional, and at times unquestioned, equation that establishes poverty--economic need, unemployment, lack of resources--as the primary cause of academic failure and school abandonment. …

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)0,013
score de la tête « metaresearch » (Gemma)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,465
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0130,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0060,001
Communication savante0,0000,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,002
Charge utile insuffisante (le modèle a refusé de juger)0,0010,001

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.

Tête enseignante Opus0,456
Tête enseignante GPT0,563
Écart entre enseignants0,107 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
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

Citations0
Publié2012
Routes d'admission1
Résumé présentoui

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