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Record W2514023325 · doi:10.1080/0966369x.2016.1219329

Exploring the daily geographies of diverse men caregiving for family members with multiple chronic conditions

2016· article· en· W2514023325 on OpenAlexafffundabout
Melissa Giesbrecht, Allison Williams, Wendy Duggleby, Jenny Ploeg, Maureen Markle‐Reid

Bibliographic record

VenueGender Place & Culture · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsMcMaster UniversityUniversity of AlbertaSimon Fraser University
FundersCanadian Institutes of Health ResearchOntario Ministry of Health and Long-Term Care
KeywordsThematic analysisSocial connectednessGerontologyPsychologyScale (ratio)Multiple Chronic ConditionsMarital statusDiversity (politics)Gender studiesSociologyQualitative researchSocial psychologyDevelopmental psychologyMedicineGeographyChronic diseaseDemographySocial sciencePopulation

Abstract

fetched live from OpenAlex

Within Canada, it has been estimated that almost half of all family, also known as informal, caregivers are now men. However, the contributions and experiences of these caregiver men have received relatively little attention, particularly from geographies of care and caregiving researchers. This analysis hopes to shed light on the unique, yet diverse, experiences of men caregiving for persons with multiple chronic conditions in Canada. Drawing on semi-structured interviews with nineteen men caregivers in two provinces of Canada, this analysis aims to explore how social and physical axes of difference shape men’s daily lived geographies when providing care. Our thematic findings reveal that caregiving is experienced by participants at the three scalar levels of the body, the home and the community. Our intersectional analysis reveals that at each scalar level, being a man was not the only variable shaping caregiving experiences. Rather, it was also age, physical capacity, culture, socio-economic status, marital status, housing status, social connectedness, relationship to the care recipient and care recipients’ physical and mental capacity that shaped experiences and meanings of place during the caregiving process. Accounting for this diversity at each scale, our findings point to the unique stresses and challenges experienced. We conclude by emphasizing the significance in acknowledging the diverse challenges that exist for all caregivers in order to inform comprehensive and inclusive social policy that ultimately will produce equitable caregiver supports.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.310
Threshold uncertainty score0.677

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 studies0.0010.000
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 head0.045
GPT teacher head0.269
Teacher spread0.224 · 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 designQualitative
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

Citations17
Published2016
Admission routes3
Has abstractyes

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