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Record W2170401168 · doi:10.17269/cjph.99.1717

Engendering research on care and care work across different social contexts

2008· article· en· W2170401168 on OpenAlexaffabout
Cecilia Benoit, Helga Kristín Hallgrímsdóttir

Bibliographic record

VenueEurope PMC (PubMed Central) · 2008
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsHealth carePovertyDignityPolitical scienceEconomic growthEquity (law)SociologyEconomicsLaw

Abstract

fetched live from OpenAlex

The collaborative papers in this supplement grew out of an international workshop held at the University of Victoria in the spring of 2006. The workshop brought together students, academics and health care practitioners from Canada, the US and two Nordic countries (Finland and Iceland) interested in unpacking the complex interrelationships between gender and both equity and dignity in health care and health care work during the historical period referred to as neo-liberalism – a time of economic liberalism beginning in the 1970s and continuing through the 1990s. During the last two decades, a variety of neo-liberal reforms, including the creation of competitive markets, the deregulation of professional services and the privatization of others, have been carried out in varying degrees in countries around the globe. There remains a heated debate, in Canada and internationally, about the effectiveness of these reforms from the perspective of those receiving services, as well as those delivering them. The evidence is mounting that such macro-economic policies have been devastating for many lowand middle-income countries, where a small group is overserviced because they can afford to pay for health service out of pocket while the bulk of the population faces a “medical poverty trap”, unable to access health care for even basic conditions.1,2 This supplement explores the impact of neo-liberal reforms on those who deliver and receive health care in Canada, Finland and Iceland. In particular, the subsequent set of papers explores the dimensions of three central themes integral to an adequate understanding of how care work is performed across different health care settings: 1) the rules and practices that shape the performance of care work are crucial to understanding how it is gendered in both formal and informal settings; 2) the larger policy context in which care work and care delivery are organized is also gendered, highlighting how rural and urban contexts as well as national configurations of the welfare state shape the gendering of paid and unpaid intimate labour; 3) neo-liberal policy debates underway in Canada and other high-income countries that are focused on enhancing the efficiency and accountability of health and social care systems have taken needed attention away from other crucial policy agendas, including how to ensure dignity for both those who receive and those who provide health care. Below, we identify how each of the contributions to this supplement illuminates one or more of these themes. First, however, we provide a brief framework by which to understand the intersections among gender, care work and the struggle to ensure dignity in the workplace and high-quality services, especially for vulnerable and disadvantaged populations. Care work Care work is a subcategory of service work that is characterized by face-to-face service to individuals in an effort to enhance their capabilities and that either directly or indirectly maintains daily life.3,4 In Canada, paid care work – which for the most part falls within one of two overlapping categories of social care and health care – represented over 12% of employees in 2008 or approximately 1.8 million people, approximately 80% of whom are female.5 Women are generally over-represented in the health and social care sectors but are especially concentrated at the lower levels of these occupational hierarchies; they include ancillary and homecare workers with less prestige, lower incomes and precarious employment schedules.6,7 In fact, for some observers, much of the work that is done inside the health and social care sectors forms part of the “pink collar ghetto”: work that is feminized, underpaid and undervalued. Such work also tends to be racialized: women who are recent immigrants and women of colour without high levels of formal education (or whose credentials are unrecognized in Canada) are concentrated in jobs that are precarious and very poorly paid, especially in private sector sales and service jobs.8,9 A similar picture exists in the US as well.10 There is a sizeable literature documenting the various pathways along which the feminization and undervaluation of care work have gone hand in hand: of note is the devaluation thesis, which argues that because the activities associated with caring work are generally conflated with what are assumed to be universal and natural female characteristics, the skills and expertise associated with caring work go unrecognized.4,11 Similarly, other scholars have argued that the care sector relies, both implicitly and explicitly, on a highly gendered assumption that women who seek out caring work are motivated by altruistic orientations and the emotional rewards of this work.4,12,13 Implicit here is a second assumption – that aspects of work understood to motivate people in other sectors of the economy, such as wages and benefits or reasonable work hours, are secondary considerations for women engaged in care work. The result is that women health workers face a strong moral pressure to provide care services for low compensation and under poor working conditions.13,14 1. Professor, Department of Sociology, University of Victoria, Victoria, BC 2. Assistant Professor, Department of Sociology, University of Victoria, Victoria, BC Correspondence and reprint requests: Dr. Cecilia Benoit, Professor, Department of Sociology, University of Victoria, P.O. Box 3050, Victoria, BC V8W 3P5, Tel: 250-721-7578, Fax: 250-7216217, E-mail: cbenoit@uvic.ca. Acknowledgements: Special thanks to Leah Shumka, Kate Vallance, Adrienne Treloar and Kim Nuernberger for their assistance at various stages of the preparation of this supplement. Thanks as well to CJPH editorial staff for their advice along the way, and to anonymous reviewers for their helpful comments on earlier drafts. Finally, we acknowledge the monetary contribution of the MSFHR Women’s Health Research Network, CIHR Institutes of Gender and Health and Population and Public Health, the Social Sciences and Humanities Research Council, and the University of Victoria.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.412
Threshold uncertainty score0.997

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 studies0.0040.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.167
GPT teacher head0.415
Teacher spread0.248 · 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 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

Citations9
Published2008
Admission routes2
Has abstractyes

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