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Record Nr. |
UNINA9910462415203321 |
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Autore |
Ringrose Jessica |
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Titolo |
Postfeminist education? : girls and the sexual politics of schooling / / Jessica Ringrose |
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Pubbl/distr/stampa |
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Abingdon, Oxon : , : Routledge, , 2013 |
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ISBN |
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1-283-58642-8 |
9786613898876 |
0-203-10682-2 |
1-136-25972-4 |
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Descrizione fisica |
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1 online resource (201 p.) |
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Collana |
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Foundations and futures of education |
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Disciplina |
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Soggetti |
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Feminism and education |
Sex differences in education |
Sex discrimination in education |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Cover; Postfeminist Education?; Title Page; Copyright Page; Table of Contents; Acknowledgements; 1: Introduction Postfeminism, education and girls; 2: Successful girls? Exploring educational media and policy' scapes' and the postfeminist panic over feminine 'success'; 3: Mean or violent girls? Exploring the postfeminist panic over feminine aggression; 4: Sexy girls? The middle class postfeminist panic over girls' 'sexualisation' and the protectionist discourses of sex education; 5: Rethinking debates on girls' agency Critiquing postfeminist discourses of 'choice' |
6: Towards a new discursive, psychosocial and affective theoretical-methodological approach7: Sexual regulation and embodied resistance Teen girls entering into and negotiating competitive heterosexualised, postfeminist femininity; 8: Girls negotiating postfeminist, sexualised media contexts; 9: Conclusion Ways forward for feminism and education; Notes; References; Index |
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Sommario/riassunto |
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"This book challenges a contemporary postfeminist sensibility grounded not only in assumptions that gender and sexual equality has |
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been achieved in many Western contexts, but that feminism has gone 'too far' with women and girls now overtaking men and boys - positioned as the new victims of gender transformations. The book is the first to outline and critique how educational discourses have directly fed into postfeminist anxieties, exploring three postfeminist panics over girls and girlhood that circulate widely in the international media and popular culture. First it explores how a masculinity crisis over failing boys in school has spawned a backlash discourse about overly successful girls; second it looks at how widespread anxieties over girls becoming excessively mean and/or violent have positioned female aggression as pathological; third it examines how incessant concerns over controlling risky female sexuality underpin recent sexualisation of girls moral panics. The book outlines how these postfeminist panics over girlhood have influenced educational policies and practices in areas such as academic achievement, anti-bullying strategies and sex-education curriculum, making visible the new postfeminist, sexual politics of schooling. Moving beyond media or policy critique, however, this book offers new theoretical and methodological tools for researching postfeminism, girlhood and education. It engages with current theoretical debates over possibilities for girls' agency and empowerment in postfeminist, neo-liberal contexts of sexual regulation. It also elaborates new psychosocial and feminist Deleuzian methodological approaches for mapping subjectivity, affectivity and social change"-- |
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2. |
Record Nr. |
UNISA996466388703316 |
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Titolo |
Data science and SDGs : challenges, opportunities and realities / / Bikas Kumar Sinha, Nurul Haque Mollah, editors |
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Pubbl/distr/stampa |
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Singapore : , : Springer, , [2021] |
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©2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (XXII, 197 p. 45 illus., 32 illus. in color.) |
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Disciplina |
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Soggetti |
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Estadística |
Economia |
Desenvolupament sostenible |
Economics - Statistical methods |
Sustainable development - Statistical methods |
Congressos |
Llibres electrònics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter 1: SDGs in Bangladesh: Implementation Challenges & Way Forward -- Chapter 2: Some Models and Their Extensions for Longitudinal Analyses -- Chapter 3: Association of IL-6 Gene rs1800796 Polymorphism with Cancer Risk: A Meta-Analysis -- Chapter 4: Two Level Logistic Regression Analysis of Factors Influencing Dual form of Malnutrition in Mother-child Pairs: A Household Study in Bangladesh -- Chapter 5: Divide and Recombine Approach for Analysis of Failure Data Using Parametric Regression Model -- Chapter 6: Performance of different data mining methods for predicting rainfall of Rajshahi district, Bangladesh -- Chapter 7: Generalized Vector Auto-regression Controlling Intervention and Volatility for Climatic Variables -- Chapter 8: Experimental Designs for fMRI Studies in Small Samples -- Chapter 9: Bioinformatic Analysis of Differentially Expressed Genes (DEGs) Detected from RNA-Sequencing Profiles of Mouse Striatum -- Chapter 10: Level of Serum High-sensitivity C-reactive protein Predicts Atherosclerosis and Coronary |
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Artery Disease in Hyperglycemic Patients -- Chapter 11: Identification of Outliers in Gene Expression Data -- Chapter 12: Selecting Covariance Structure to Analyze Longitudinal Data: A Study to Model the Body Mass Index of Primary School Going Children in Bangladesh -- Chapter 13: Statistical Analysis of Various Optimal Latin Hypercube Designs -- Chapter 14: Erlang Loss Formulas: An Elementary Derivation -- Chapter 15: Machine Learning, Regression and Numerical Optimization. |
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Sommario/riassunto |
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The book presents contributions on statistical models and methods applied, for both data science and SDGs, in one place. Measuring and controlling data of SDGs, data driven measurement of progress needs to be distributed to stakeholders. In this situation, the techniques used in data science, specially, in the big data analytics, play an important role rather than the traditional data gathering and manipulation techniques. This book fills this space through its twenty contributions. The contributions have been selected from those presented during the 7th International Conference on Data Science and Sustainable Development Goals organized by the Department of Statistics, University of Rajshahi, Bangladesh; and cover topics mainly on SDGs, bioinformatics, public health, medical informatics, environmental statistics, data science and machine learning. The contents of the volume would be useful to policymakers, researchers, government entities, civil society, and nonprofit organizations for monitoring and accelerating the progress of SDGs. |
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