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Record W4412542295 · doi:10.1080/13504630.2025.2525412

Citizen mothers and others: natalist discourse and politics in the U.S. after Trump

2025· article· en· W4412542295 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSocial Identities · 2025
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsCarleton University
Fundersnot available
KeywordsSociologyPoliticsGender studiesPolitical scienceLaw

Abstract

fetched live from OpenAlex

This article focuses on the ways in which contemporary U.S. natalist discourse, signs, and political interventions have constructed mother citizens in binary opposition to outsider / others. It examines how a variety of players, from politicians to influencers, employ nationalistic pro- and anti-natalism toward the ends of population management in various cultural and political sites. It argues that by problematizing both fertility crisis and imagined internal and external threats to the state, U.S. natalists encourage prolific, white motherhood as duty to a national imagined community. Exploring historical examples of natalism and nationalism and following poststructuralists like Jacques Derrida, who traces out hierarchies and othering effects in sign systems and discourse, this article examines the imagined threats in contemporary U.S. natalism, which are depicted in binary to the selfless mother citizen.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.535
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.019
GPT teacher head0.375
Teacher spread0.356 · 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