Evidence map›Paper›PMID 38505691›Full record

ArticlePNAS nexus2024

Extracting intersectional stereotypes from embeddings: Developing and validating the Flexible Intersectional Stereotype Extraction procedure.

Tessa E S Charlesworth, Kshitish Ghate, Aylin Caliskan, Mahzarin R Banaji

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PNAS nexus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Self-Protection Motivation and Its Psychological Construction: A Process Model Distinguishing Two Unique Motivational Orientations.Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc · 2026
    Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Tessa E S CharlesworthKellogg School of Management, Northwestern University, Evanston, IL 60208, USA.ORCID https://orcid.org/0000-0001-5048-3088
Kshitish GhateLanguage Technologies Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
Aylin CaliskanInformation School, University of Washington, Seattle, WA 98105, USA.ORCID https://orcid.org/0000-0001-7154-8629
Mahzarin R BanajiDepartment of Psychology, Harvard University, Cambridge, MA 02138, USA.ORCID https://orcid.org/0000-0002-5941-7455

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social group-based identities intersect. The meaning of "woman" is modulated by adding social class as in "rich woman" or "poor woman." How does such intersectionality operate at-scale in everyday language? Which intersections dominate (are most frequent)? What qualities (positivity, competence, warmth) are ascribed to each intersection? In this study, we make it possible to address such questions by developing a stepwise procedure, Flexible Intersectional Stereotype Extraction (FISE), applied to word embeddings (

Indexed as

genderintersectionalityracestereotypingword embeddings

Identifiers

PMID38505691
PMCPMC10949907

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.