Cited by 456

The DOI matches its Crossref record.

Intersectionality as a Normative and Empirical Paradigm

Hancock, Ange-Marie·2007·Politics & Gender

Abstract

In the 10 years that I have conducted intersectional research, my views have changed significantly in terms of how I conceptualize the subspecialization. Originally I thought of intersectionality as a content-based specialization that emphasized the subjectivity of women who reside at the intersections of race-, gender-, class-, and sexual orientation–based marginalizations (and other categories of difference). Thinking of it in this way, with a focus on content, follows the logic of much groundbreaking work in women's studies and women and politics scholarship. The primary pursuit of this focus is inclusion – incorporating previously ignored and excluded populations into preexisting frameworks to broaden our knowledge base regarding traditional questions of political science. For example, examining gender differences in voting behavior, party identification, candidate recruitment, and social movements has contributed critical knowledge to the discipline of political science.

Overview

Integrity signals

Registry

Crossref · 10.1017/s1743923x07000062

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cited by

Sorted by citations

See all 456

Metadata

Authors
Hancock, A.-M.
Venue
Politics & Gender
Published
2007-06
Volume
3
Issue
2
Pages
248-254
ISSN
  • 1743-923X
  • 1743-9248
Cited by
456
References
0
Language
en

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review