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Record W4408845456 · doi:10.1093/geront/gnaf112

Queer Gerontology: Principles for Advancing Rigor and Justice

2025· article· en· W4408845456 on OpenAlexaff
Vanessa Fabbre, Austin Oswald, Sarah Jen

Bibliographic record

VenueThe Gerontologist · 2025
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsDalhousie University
Fundersnot available
KeywordsQueerScholarshipVisionSociologyCreativityDisability studiesInclusion (mineral)Economic JusticeGender studiesDiversity (politics)Successful agingGerontologyPsychologyPolitical scienceMedicineSocial psychologyLawAnthropology

Abstract

fetched live from OpenAlex

Gerontology has advanced greatly in recent decades in its attention to the lives of lesbian, gay, bisexual, transgender, queer, and additional sexual and gender diverse (LGBTQ+) people. To this end, scholars have argued for a queering of our understanding of the life course and aging futures. Others have called for the queering of gerontology itself. We argue that a vision of queer gerontology-framed in 5 principles-can promote rigorous advancement in our scholarship around aging as well as transforming our approaches to knowledge development and building scholarly communities based on an ethic of care. Grounded in historical waves of LGBTQ+ aging literature and our own experiences in this scholarly area, we present and discuss five principles of queer gerontology, as a means of building guidance for and solidarity in the study of LGBTQ+ aging. We argue that these principles will foster greater diversity and creativity in visions of later life, thereby promoting inclusion and justice for LGBTQ+ older adults, but also for all people as we age.

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)0.001
metaresearch head score (Gemma)0.001
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: none
Teacher disagreement score0.773
Threshold uncertainty score0.647

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.105
GPT teacher head0.434
Teacher spread0.329 · 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

Citations9
Published2025
Admission routes1
Has abstractyes

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