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Record W2009384450 · doi:10.1080/09663690801996254

Introduction: space, place and the geographies of women's caregiving work

2008· article· en· W2009384450 on OpenAlexaff
Allison Williams, Valorie A. Crooks

Bibliographic record

VenueGender Place & Culture · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsSimon Fraser UniversityMcMaster University
Fundersnot available
KeywordsRestructuringSpace (punctuation)Work (physics)SociologySession (web analytics)Gender studiesWelfareUnpaid workPublic relationsSocial scienceGerontologyPolitical scienceMedicineLawEngineering

Abstract

fetched live from OpenAlex

The vast majority of caregivers, whether formal or informal, paid or unpaid, are women. Health care restructuring across the West, inspired by a shift from the welfare to neoliberal state, has greatly impacted caregiving. The idea for this collection arose as a result of a special paper session on the geographies of caregiving, held as part of the Association of American Geographers Meeting (Chicago, 2006). In hearing the papers presented, it became clear that geographers are engaged in interesting and innovative research in this area, much of which involves women's caregiving work in particular. As both unpaid informal family caregiving and paid formal practitioner-provided care are mainly addressed in this collection, they are briefly discussed in this editorial. This is followed by a discussion of the geographical contributions to the growing caregiving literature, which provides the foundation for an overview of ongoing and new research directions. The four articles that make up this special issue are then reviewed in brief. Finally, we identify issues that cut across all four articles, leading to a discussion of future research directions.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.614
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.010
GPT teacher head0.223
Teacher spread0.213 · 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

Citations28
Published2008
Admission routes1
Has abstractyes

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