Evidence map›Paper›PMID 40184170›Full record

ArticleCBE life sciences education2025

Highlighting Counterstereotypical Scientists in Undergraduate Life Science Courses.

Robin A Costello, Sharday N Ewell, Paula E Adams, Maurina L Aranda, Aaron Curry, Maria Mercedes De Jesus, Ryan D P Dunk, Marcos E García-Ojeda, Stephanie J Gutzler, Linda R A Habersham and 18 more

Abstract read
In one paragraph

Article in CBE life sciences education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Fostering Belonging Through Introducing Diverse Scientists in Undergraduate Neuroscience Lectures.Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience · 2026
    Article
  3. Article
  4. DataVersify: A Framework for Data Literacy Instruction Featuring Scientist Stories.Integrative organismal biology (Oxford, England) · 2026
    Article
  5. 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

28 authors.

Robin A CostelloAuburn University, Auburn, AL 36849.
Sharday N EwellUniversity of Mississippi, University, MS 36877.
Paula E AdamsAuburn University, Auburn, AL 36849.
Maurina L ArandaSouthern Illinois University Edwardsville, Edwardsville, IL 62026.
Aaron CurryDr. Henry A. Wise, Jr. High School, Upper Marlboro, MD 20785.
Maria Mercedes De JesusAuburn University, Auburn, AL 36849.
Ryan D P DunkAuburn University, Auburn, AL 36849.
Marcos E García-OjedaUniversity of California Merced, Merced, CA 95343.
Stephanie J GutzlerGeorgia State University, Atlanta, GA 30303.
Linda R A HabershamUniversity of Georgia, Athens, GA 30602.
Melissa K KjelvikMichigan State University, East Lansing, MI 48824.
Myesha MateenUniversity of Georgia, Athens, GA 30602.
Kelsey J MetzgerUniversity of Minnesota Rochester, Rochester, MN 55904.
Kimberly X MulliganAuburn University, Auburn, AL 36849.
Melinda T OwensUniversity of California San Diego, La Jolla, CA 92093.
Rachel M PiggUniversity of Louisville, Louisville, KY 40292.
Kim QuillinSalisbury University, Salisbury, MD 21801.
Mallory M RiceCalifornia State University San Marcos, San Marcos, CA 92096.
Selorm SoviUniversity of Georgia, Athens, GA 30602.
Elizabeth H SchultheisKellogg Biological Station, Michigan State University, Hickory Corners, MI 49060.
Jaidyn SchultzUniversity of Georgia, Athens, GA 30602.
Elli J TheobaldUniversity of Washington, Seattle, WA 98195.
Erica TraceyGeorgia State University, Atlanta, GA 30303.
Brie TrippUniversity of California Davis, Davis, CA 95616.
Suann YangState University of New York at Geneseo, Geneseo, NY 14454.
Ash ZemenickUniversity of Michigan, Ann Arbor, MI 48109.
Cissy J BallenAuburn University, Auburn, AL 36849.
Dax OvidUniversity of Georgia, Athens, GA 30602.

Funding

The Scientist Spotlights Initiative: Promoting Diversity and Inclusion through Development, Assessment, and DisseminationR25GM129823 · NIGMS · SAN FRANCISCO STATE UNIVERSITY · PI SCHINSKE, JEFFREY, TANNER, KIMBERLY D. · 2018 to 2022
$942k
NIGMS NIH HHS R25 GM129823
6 · The paper itself

Abstract

Increasingly, curricular materials for undergraduate life science courses are designed to highlight scientists with identities and backgrounds that counter historical and stereotypical representation in science. In this essay, we characterize the wide variation in the development and implementation of these curricular materials featuring counterstereotypical scientists. Applying the Social Ecological Model of Behavior Change as a framework, we examine both personal and social elements of the benefits and costs related to designing and implementing curricula featuring counterstereotypical scientists from the perspective of three groups: students, instructors, and the featured scientists. The benefits of these materials for students are well documented, and we consider how these materials may likewise benefit instructors and the featured scientists themselves. However, we emphasize that, if not developed and implemented with attention to the diversity of personal, social, and contextual factors, such well-intentioned efforts may be ineffective or impact groups in inadvertent ways. Finally, we offer recommendations for highlighting counterstereotypical scientists in curricula. We call for additional research to effectively develop and implement materials featuring counterstereotypical scientists in ways that maximize benefits and limit possible costs to students, instructors, and the featured scientists.

Indexed as

Biological Science DisciplinesCurriculumStereotypingHumansStudentsUniversities

Identifiers

PMID40184170
PMCPMC12286632

What OpenQuestion holds

Textmetadata
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.