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Field (Bourdieu)

About: Field (Bourdieu) is a research topic. Over the lifetime, 11421 publications have been published within this topic receiving 180769 citations.


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Book
01 Jan 1998
TL;DR: The authors provides professionals, researchers and trainers with a state-of-the-art summary of the field, illuminated by practical real-world examples of best practice, and provides a good overview of the current state of the art.
Abstract: This text provides professionals, researchers and trainers with a state-of-the-art summary of the field, illuminated by practical real-world examples of best practice.

53 citations

Journal ArticleDOI
TL;DR: The authors examines the processes by which middle-class belonging is generated, through the exploration of social and spatial trajectories in narratives of residential choice and mobility, and argues that residential space is not just appropriated to reflect pre-existing tastes and lifestyles, but may also contribute in the transformation of habitus to fit to particular neighbourhoods and ways of living.
Abstract: This paper examines the processes by which middle-class belonging is generated, through the exploration of social and spatial trajectories in narratives of residential choice and mobility. It is based on an understanding of residential choice as indicative and constitutive of social mobilities. In particular the paper builds on the discussion of the match between habitus and field that lies at the root of the notions of middle-class belonging and place attachments to draw attention not only to the conditions under which ‘fit’ is possible, but also acknowledge that belonging is a dynamic process, generated and maintained through residence that feeds back into understandings of classed identities. This paper argues that residential space is not just appropriated to reflect pre-existing tastes and lifestyles, but may also contribute in the transformation of habitus to fit to particular neighbourhoods and ways of living.

53 citations

Journal ArticleDOI
TL;DR: As the field of Geographies of children, youth and families grows and diversifies as a testament to the active and vigorous interest in this area of research, the collection of papers presented in this paper is a good source of information.
Abstract: As the field of Geographies of Children, Youth and Families grows and diversifies as a testament to the active and vigorous interest in this area of research, the collection of papers presented wit...

53 citations

Book Chapter
01 Jan 2008
TL;DR: The Handbook of Social Sciences and Humanities as mentioned in this paper is at once a synthesis of advances in the field, with a comprehensive coverage of the scholarly literature, and a collection of essays and reviews.
Abstract: Addressed to academics and advanced students in all fields of the social sciences and humanities, this Handbook is at once a synthesis of advances in the field, with a comprehensive coverage of the scholarly literature, and a collection of ...

53 citations

01 Jan 2020
TL;DR: In this paper, the authors show that community knowledge can help overcome information asymmetries prevalent in poorly developed financial markets and that appropriately designed elicitation mechanisms can extract truthful community reports.
Abstract: Microentrepreneurs in low-income countries have high marginal returns to capital yet face significant credit constraints. Because returns are highly heterogeneous, the cost of assessing credit worthiness often makes lending to this sector unprofitable. In this paper, we show that (1) community knowledge can help overcome information asymmetries prevalent in poorly developed financial markets and that (2) appropriately designed elicitation mechanisms can extract truthful community reports. We asked entrepreneurs in Maharashtra, India to rank their peers on metrics of business profitability and growth potential. To assess the validity of their reports, we then randomly distributed cash grants of USD 100 to a third of these entrepreneurs. We find that information provided by community members is highly predictive of the marginal return to capital: entrepreneurs ranked in the top tercile earn returns of 23% per month, which is three times the average return within the sample. We horserace community rankings against a machine learning prediction built using entrepreneur characteristics and find that peer reports are predictive over and above observable traits. Yet community information is only useful if it is feasible to collect truthful statements. We experimentally vary the elicitation environment and demonstrate agency problems when community members have incentive to lie: accuracy of community reports decreases by a third when cash grants are at stake. But we also show that tools from mechanism design can be used to address these agency problems. Paying for truthfulness using a peer prediction rule fully corrects for strategic misreporting induced by the high-stakes environment. Public reporting and cross-reporting techniques motivated by implementation theory also significantly improve the accuracy of peer reports. ∗Natalia Rigol: nrigol@hsph.harvard.edu. Reshmaan Hussan: rhussam@hbs.edu. Benjamin Roth: broth@hbs.edu. We would like to first thank our team for their tireless work on this project, especially our research manager Sitaram Mukherjee and our project assistants Prasenjit Samanta and Sayan Bhattacharjee. We are very grateful to Rohan Parakh for exceptional advice, research assistance, and field management. We are also grateful to Namita Tiwari, Suraj Jacob, and Meghana Mugikar for excellent assistance in the field. We thank Savannah Noray for meticulous technical assistance in Cambridge. This research was made possible with funding from the Asian Development Bank, Weiss Family Fund, PEDL, and the Schultz Fund at MIT. We received valuable feedback about this project from Rohini Pande, Benjamin Olken, Abhijit Banerjee, Pascaline Dupas, Esther Duflo, Peter Hull, Jonathan Roth, Christopher Woodruff, David McKenzie, Simone Schaner, Rema Hanna, and members of the Harvard and MIT development communities. We are especially indebted to Arielle Bernhardt.

53 citations


Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202213
2021631
2020711
2019709
2018748
2017622