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Record W7079469772 · doi:10.26108/5p8a-7685

Getting prepared to care: understanding the experiences of caregivers in Nova Scotia

2024· other· en· W7079469772 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAcadiaU-DEV · 2024
Typeother
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsRespite careNova scotiaGovernment (linguistics)Unpaid workWork (physics)Neoliberalism (international relations)Public policyCommodificationCare work

Abstract

fetched live from OpenAlex

This thesis explores the challenges of caregivers in Nova Scotia and their barriers to accessing respite care and government support. This thesis is guided by social reproduction theory, the political economy of aging, and the life course perspective. These perspectives help to better understand how unpaid care work is valued in the care economy and why this labour has been largely overshadowed and underappreciated due to neoliberalism and capitalism. This research uses a mixed-methods approach including seven semi-structured interviews with caregivers across the province, which are supplemented with secondary data analysis of the 2018 General Social Survey – Caregiving and Care Receiving. The findings highlight the need for better access to home care services, respite care, and government funds to help caregivers and mediate caregiver burden. Helping caregivers in this manner is a necessary step to avoid a crisis of care and to ensure a better quality of life for caregivers and their care recipients.

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.890
Threshold uncertainty score0.689

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.027
GPT teacher head0.261
Teacher spread0.233 · 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