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Record W4200280470 · doi:10.1093/geroni/igab046.1537

From Margin to Center: Intersectionality and the Politics of Environmental Gerontology

2021· article· en· W4200280470 on OpenAlexaboutno aff
Austin Oswald, Jarmin Yeh

Bibliographic record

VenueInnovation in Aging · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsnot available
FundersGraduate Center
KeywordsScholarshipIntersectionalityPoliticsSociologyGender studiesPower (physics)Population ageingConversationPopulationGerontologyRepresentation (politics)Political scienceMedicineLaw

Abstract

fetched live from OpenAlex

Abstract As the population becomes increasingly older and culturally diverse, so too does the need for critical scholarship that examines the complex lives of differently positioned older adults in relation to their social and physical ecologies. This innovative symposium reflects the importance of putting intersectional frameworks (Collins & Bilge, 2016) in conversation with environmental gerontology to critically examine structures of power in assessing who matters and who benefits from place-based initiatives that intend to support healthy aging (Phillipson, 2004). Perry et al.’s paper addresses the politics of responsibility, asking who is responsible for keeping older people safe in light of Covid-19 though a citywide senior housing coalition in Detroit. The second paper, authored by Johnson, speaks to the politics of access and structural inequalities that create disparities in end-of-life care for unhoused older adults. The third and fourth papers, by Stinchcombe and colleagues and Oswald, critically examine dominant paradigms of age-friendliness in Canada and the United States though a politics of representation that highlights who is (in)visible in these initiatives. The final paper by Reyes, on the civic participation of Latinx and African American older adults, illustrates how structural change cannot happen without engaging these populations in the political process. Together, these papers exemplify the politics of environmental gerontology and demonstrate that without acknowledgment of multi-layered identities and the structures contributing to their inequities, environmental gerontology is inadequate, as it may overlook important social and environmental factors that connect older people to the places where they live and die.

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)0.000
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 score0.557
Threshold uncertainty score0.994

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 studies0.0000.000
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 head0.024
GPT teacher head0.304
Teacher spread0.280 · 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 designObservational
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

Citations1
Published2021
Admission routes1
Has abstractyes

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