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Record W2071638309 · doi:10.3384/ijal.1652-8670.1272a3

Reimagining care: images of aging and creativity in House Calls and Year at Sherbrooke

2013· article· en· W2071638309 on OpenAlexaffabout
Sally Chivers

Bibliographic record

VenueInternational Journal of Ageing and Later Life · 2013
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsTrent University
Fundersnot available
KeywordsCreativityDignityResidenceVulnerability (computing)Visual artsPower (physics)SociologyGender studiesHistoryMedia studiesPolitical scienceArtLawDemography

Abstract

fetched live from OpenAlex

This article looks at the relationship between the esthetic and documentary commentaries offered by two National Film Board of Canada (NFB) productions, chosen because they use the documentary form to interpret aging and care in Canada for Canadians, offering a Canadian example of an issue that is of international importance. The first film, House Calls (Ian McLeod 2004), follows the work of Mark Nowaczynski, a physician who photographs his elderly patients to illustrate their dignity amidst what he perceives to be their fragility and vulnerability. The second, A Year at Sherbrooke (Thomas Hale 2009), follows artists Thelma Pepper and Jeff Nachtigall who work with residents of a Saskatoon long-term care facility - Pepper continues her longer term practice of photographing the residents and Nachtigall takes on a new role of artist-in-residence in which he mentors them in their own creative development. Analyzing the role of photography in each film, the article shows that, together, the films demonstrate that images of aging beyond mere decline may play a role in reimagining how care for older adults takes place.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.210

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 head0.021
GPT teacher head0.334
Teacher spread0.313 · 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

Citations4
Published2013
Admission routes2
Has abstractyes

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