MétaCan
Menu
Back to cohort
Record W4410057099 · doi:10.1080/01634372.2025.2489057

Social Identity and Power: Older Adults as “Care Recipients” in Media Content on Family Care

2025· article· en· W4410057099 on OpenAlexafffundabout
Rachel Antonia Dunsmore, Laura Funk, Dana Sawchuk

Bibliographic record

VenueJournal of Gerontological Social Work · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsWilfrid Laurier UniversityUniversity of Manitoba
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsContent (measure theory)Identity (music)Power (physics)PsychologySocial mediaSocial careSocial workMedicineGerontologyNursingPolitical scienceComputer scienceWorld Wide WebArt

Abstract

fetched live from OpenAlex

In the context of normalized forms of elder abuse and neglect in Canada, it is important to examine how constructions of family caregivers in the public sphere (re)produce potentially harmful assumptions. In this paper, we examine mainstream media construction of the "caregiver" identity in advocacy-related coverage over a 6-year time period (2016-2021). Relying on abductive formal analysis, we explore how care for older adults is presented as largely burdensome and linked to what are labeled the "complex care needs" of a growing aging population that is erroneously presented as largely incapacitated or incompetent. In particular, the emphasis and confusion generated around the indiscriminate use of the disease label of "dementia" functions to emphasize burden, particularly for women and women's liberation more broadly while simultaneously dehumanizing older persons and ignoring various well-documented and socially generated causes of cognitive impairment. Our analysis suggests that reliance on the caregiver identity contributes to the marginalization of older adults and perpetuates ageism while obscuring multiple system failures that harm older persons and strain families' ability to be responsive to elders' needs.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.695
Threshold uncertainty score0.669

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 studies0.0010.000
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 head0.033
GPT teacher head0.337
Teacher spread0.305 · 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
Published2025
Admission routes3
Has abstractyes

Explore more

Same venueJournal of Gerontological Social WorkSame topicIntergenerational Family Dynamics and CaregivingFrench-language works237,207