The DOI matches its Crossref record.
The Fine Line: Making Distinctions in Everyday Life.
Abstract
Eviatar Zerubavel argues that most of the distinctions we make in our daily lives and in our culture are social constructs. He questions the notion that a clear line can be drawn to separate one time or object or concept from another, and presents witty and provocative counterexamples in defense of ambiguity and anomaly.
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Citations
Cited by
All in a Day's Work: Boundaries and Micro Role Transitions
Ashforth, B. E., Kreiner, G. E., & Fugate, M. (2000) · The Academy of Management Review · doi:10.2307/259305 · Cited by 3,039
Consequences of work‐home segmentation or integration: a person‐environment fit perspective
Kreiner, G. E. (2006) · Journal of Organizational Behavior · doi:10.1002/job.386 · Cited by 759
Social memories: Steps to a sociology of the past
Zerubavel, E. (1996) · Qualitative Sociology · doi:10.1007/bf02393273 · Cited by 608
Self-citationSonnentag, S., Kuttler, I., & Fritz, C. (2010) · Journal of Vocational Behavior · doi:10.1016/j.jvb.2009.06.005 · Cited by 484
(2016) · Project Muse (Johns Hopkins University) · Cited by 471
Metadata
- Authors
- Ben-Yehuda, N., & Zerubavel, E.
- Venue
- Contemporary Sociology
- Publisher
- SAGE Publications
- Published
- 1993-01
- Volume
- 22
- Issue
- 1
- Pages
- 114
- ISSN
- 0094-3061 (ISSN-L)
- OpenAlex
- W2104521492
- Cited by
- 564
- References
- 0
- FWCI
- 43.24
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The Fine Line: Making Distinctions in Everyday Life. https://app.cochat.ai/papers/10.2307/2075036
- The paper
- Ben-Yehuda, N., & Zerubavel, E. (1993). The Fine Line: Making Distinctions in Everyday Life. Contemporary Sociology. https://doi.org/10.2307/2075036
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
