Between feminism and labor : the significance of the comparable worth movement / / Linda M. Blum [[electronic resource]]

• Record Nr.: UNINA9910495867003321
• Autore: Blum Linda M
• Pubbl/distr/stampa: Berkeley, : University of California Press, c1991
• ISBN: 0-520-35467-2; 0-520-91083-4; 0-585-31315-6
• Descrizione fisica: 1 online resource (x, 249 p. )
• Disciplina: 331.2/153/0973
• Soggetti: Pay equity - California - Case studies; Pay equity - United States; Feminism - United States; Pay equity - Case studies - California; Business & Economics; Labor & Workers' Economics; Case studies.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di bibliografia: Includes bibliographical references (p. 219-242) and index.
• Nota di contenuto: 1. Justice You Can Bank On ; 1 -- ; 2. National Gender Polities: Affirmative Action, the Feminist Movement, and Comparable Worth ; 20 -- ; 3. "Tough Politics": The Comparable Worth Movement in San Jose ; 54 -- ; 4. "No Fingerprints": The Comparable Worth Movement in Contra Costa County ; 92 -- ; 5. Constrained Choices: Women's Interest in Women's Work ; 131 -- ; 6. Limits of the Comparable Worth Movement ; 160 -- ; 7. Radical Possibilities of a Class and Gender Movement ; 183 -- ; Appendix A. Overview of Women's Position in the Labor Force ; 203 -- ; Appendix B. San Jose Interview and Documentary Material ; 207 -- ; Appendix C. Contra Costa County Interview and Documentary Material ; 212.
• Sommario/riassunto: Equal pay for equal work has long been a forceful slogan of the feminist and labor movements. Now, however, as the American economy depends more and more on "women's work," it has become ; clear that this objective does not benefit the majority of women, who are employed in sex-segregated jobs. In Between Feminism and Labor, Linda M. Blum examines the movement for comparable worth, or equal pay for comparable work, as a strategy to raise wages for the "pink-collar" jobs that are most frequently occupied by women. She explores the larger political implications of the movement and provides the first study of pay equity to focus directly on the mobilization of the female work force at the grass-roots level.Through two case studies of local comparable worth movements—in San Jose and Contra Costa County, California—Blum probes several important issues. She asks whether comparable worth can contribute to the formation of active labor-feminist alliances, and after a nuanced, intelligent analysis of the complexities and contradictions of comparable worth, endorses its radical potential to improve women's wages and forge links between gender- and class-based politics.Between Feminism and Labor also situates comparable worth in the context of the limitations of affirmative action, a strategy seeking to move women into male jobs as opposed to raising the value of women's work. It is the first study to contrast these two strategies and to place them within the theoretical and political debates over the validation of gender difference versus the requirement of gender neutrality. As such, the book should stimulate debate among those concerned with the future of the feminist movement, as well as those interested in the future of organized labor and progressive politics in America.

Deep Learning for Seismic Data Enhancement and Representation / / by Shirui Wang, Wenyi Hu, Xuqing Wu, Jiefu Chen

• Record Nr.: UNINA9910918696403321
• Autore: Wang Shirui
• Pubbl/distr/stampa: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
• ISBN: 9783031757457; 3031757459
• Edizione: [1st ed. 2024.]
• Descrizione fisica: 1 online resource (164 pages)
• Collana: Advances in Oil and Gas Exploration & Production, , 2509-3738
• Altri autori (Persone): HuWenyi; WuXuqing; ChenJiefu
• Disciplina: 550
• Soggetti: Geophysics; Data mining; Electrical engineering; Image processing - Digital techniques; Computer vision; Artificial intelligence - Data processing; Data Mining and Knowledge Discovery; Electrical and Electronic Engineering; Computer Imaging, Vision, Pattern Recognition and Graphics; Data Science
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Chapter 1: Introduction -- Chapter 2: Full Waveform Inversion With Low-Frequency Extrapolation -- 3: Deep Learning For Seismic Deblending -- Chapter 4: Blind-Trace Network For Self-Supervised Seismic Data Interpolation -- Chapter 5: Self-Supervised Learning For Anti-Aliased Seismic Data Interpolation Using Dip Information -- Chapter 6:Deep Learning For Seismic Data Compression -- Chapter 7: Conclusion.
• Sommario/riassunto: Seismic imaging is a key component of subsurface exploration, and it depends on a high-quality seismic data acquisition system with effective seismic processing algorithms. Seismic data quality concerns ; various factors such as acquisition design, environmental constraints, sampling resolution, and noises. The focus of this book is to investigate efficient seismic data representation and signal enhancement solutions by leveraging the powerful feature engineering capability of deep learning. The book delves into seismic data representation and enhancement issues, ranging from seismic acquisition design to subsequent quality improvement and compression technologies. Given the challenges of obtaining suitable labeled training datasets for seismic data processing problems, we concentrate on exploring deep learning approaches that eliminate the need for labels. We combined novel deep learning techniques with conventional seismic data processing methods, and construct networks and frameworks tailored for seismic data processing. The editors and authors of this book come from both academia and industry with hands-on experiences in seismic data processing and imaging.