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Record W4412723128 · doi:10.1187/cbe.24-02-0074

Understanding the Lived Experiences of the members of the Society for the Advancement of Biology Education Research through Collins' Matrix of Domination Framework

2025· article· en· W4412723128 on OpenAlexaff
Ariel Chasen, Nicole L. Scheuermann, Teri C. Balser, Anastasia Chouvalova, Clark R. Coffman, Amanda Conner, A. Martı́nez-de la Cruz, Alexander Eden, Robert M. Erdmann, Dawn Foster‐Hartnett, Benjamin Gerstner, Cathy Ishikawa, Justine S. Liepkalns, Kelsey J. Metzger, Miriam Segura, Beverly L. Smith‐Keiling, Ashli M. Wright, Natalia Caporale

Bibliographic record

VenueCBE—Life Sciences Education · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicDiverse Educational Innovations Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsFraming (construction)SociologyPublic relationsDisciplineInclusion (mineral)Equity (law)Power (physics)Engineering ethicsPolitical scienceSocial science

Abstract

fetched live from OpenAlex

Professional science societies stand at the intersection of science, education, and research, providing crucial professional development and career opportunities for scientists. Their structures and policies can either promote more equitable ideologies, practices and outcomes or deepen existing disparities within science. In recent years, many societies have implemented diversity statements and initiatives, but few studies have examined their actual impact on membership composition and the experiences of their minoritized members. Critical education scholars emphasize the importance of examining these experiences through frameworks that center their voices, acknowledge institutional racism, and address the power imbalances that exclude marginalized groups. This study uses the matrix of domination framework (Collins, 1990) and its four domains of power (structural, disciplinary, interpersonal, and cultural/hegemonic) to investigate the perceptions and experiences of inclusion/exclusion of the members of the Society for the Advancement of Biology Education Research (SABER). We identified factors that contribute to and detract from the society's equity goals by analyzing members' experiences at different systemic levels. By framing members' experiences through the lens of dimensions of power, we reveal relationships and structures that may have otherwise remained invisible, offering new insights into strategies that can better aid professional societies toward their equity goals.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.847
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.220
GPT teacher head0.445
Teacher spread0.225 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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