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Record W2563082484 · doi:10.1057/978-1-137-48769-8_9

“Everybody Has Different Levels of Why They Are Here”: Deconstructing Domestication in the Nursing Home Setting

2016· book-chapter· en· W2563082484 on OpenAlexaffabout
Katie Aubrecht, Janice Keefe

Bibliographic record

VenuePalgrave Macmillan US eBooks · 2016
Typebook-chapter
Languageen
FieldHealth Professions
TopicAging, Elder Care, and Social Issues
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsPersonhoodDementiaFeelingReciprocity (cultural anthropology)Nursing homesContext (archaeology)PsychologyPerspective (graphical)Meaning (existential)DignityNursingGerontologySociologyMedicineSocial psychologyPsychotherapistDiseasePolitical scienceGeography

Abstract

fetched live from OpenAlex

This chapter uses a disability studies perspective to deconstruct the relationship between personhood and domestication, as this relationship has been made to appear in interviews with older adults residing in a nursing home in Canada. Our analysis illustrates how assumptions about dementia shape the self-perceptions, experiences of home, and meaning of co-residence for people living in the nursing home setting. Tom Kitwood’s conception of person-centered dementia care is examined as a means of understanding how personhood is imagined within the context of residential dementia care from the perspective of residents without dementia. We trace contradictions in the ways nursing home residents with dementia are imagined and treated as patients rather than persons in what we call “governing texts.” These texts operate at multiple levels, and include global policies, institutional reports, and individual stories. Dominant understandings of dementia treat dementia as either a threat to personhood, and to being and feeling “at home,” or as an opportunity to reaffirm the significance of personhood to being and feeling “at home.” This chapter concludes by offering a counternarrative of dementia that orients to dementia as an expression of “faith in reciprocity and a shared life” (van Manen 1990, 16).

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.926
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.058
GPT teacher head0.342
Teacher spread0.284 · 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.

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

Citations2
Published2016
Admission routes2
Has abstractyes

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