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Record W7034405920

Transitions into personal care homes: policy, practice, and lived experience

2019· dissertation· en· W7034405920 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2019
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLepidoptera: Biology and Taxonomy
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionTSG101HyporeflexiaCircumstantial evidenceGestational periodPopulation
DOInot available

Abstract

fetched live from OpenAlex

Family caregivers play a crucial part in assisting older adults as they transition into long-term care facilities, or Personal Care Homes (PCHs) as they are known in Manitoba. However, there is limited research on experiences family caregivers have with the health care system throughout this process. This study, through thematic analysis of secondary qualitative data, explored the experiences of 22 family caregivers as they transitioned an older adult across the continuum of care in Winnipeg, Manitoba. Particular attention was paid to the way in which caregivers were accorded choice and control within their interactions with the health care system. Caregiver experiences were juxtaposed with thematic and discourse analysis of secondary qualitative data including 9 service provider perspectives of navigating experiences, and public presentations of how the system is portrayed through governmental and regional health websites. The findings of this study are organized into three phases (pre-panel, panel, and post-placement) with associated sub-themes describing different aspects of structural burden throughout the transition process. Care responsibilities and requirements performed by family caregivers transcend typical assumptions of care provision, beyond social and medical care to often extensive and invisible administrative and information work. This thesis highlights the structural burden that accompanies providing care for older adults in the community, and in particular how this burden can further influence the need to initiate the transition process.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.151
Threshold uncertainty score0.301

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.011
Scholarly communication0.0050.003
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.238
Teacher spread0.227 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2019
Admission routes1
Has abstractyes

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