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Record W2961180679 · doi:10.14288/1.0379046

Planning the everyday/everynight : a feminist participatory action research with women nightshift workers

2019· article· en· W2961180679 on OpenAlexaff
Sara Ortiz Escalante

Bibliographic record

VenueOpen Collections · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAction (physics)Participatory action researchGender studiesSociology

Abstract

fetched live from OpenAlex

Most research on planning the night focuses on Western city centers’ ‘night-time economy,’ particularly neo-liberal economic revitalization practices related to leisure and alcohol consumption. Although some studies include gender and race analyses, few challenge the underlying male-centered, hetero-patriarchal, and racist night-time cultures. They also overlook the everyday/everynight needs of those people who due to productive, care, and reproductive work use the city after dark on a regular basis, and disregard night-time cycles outside city centers. This dissertation examines the productive/reproductive continuum of the night economy by studying the everyday/everynight life of women nightshift workers in the Barcelona Metropolitan Area from an intersectional feminist perspective. Using Feminist Participatory Action Research (FPAR), I first analyze the role of contemporary urban planning and mobility practices in shaping women night workers’ everyday/everynight life. Second, I examine the transformational potential of FPAR to promote feminist urban planning for night use. The results reveal that women nightshift workers experience restricted public space access and differentiated right to the city, mainly because of fear of sexual violence rooted in hetero-patriarchal and gender, race, and class oppressive structures. Women continue using more sustainable modes of transport at night as they face several issues while commuting by foot or public transportation due to reduced frequency, irregular service, poor multimodal connections, and fear of sexual violence. This FPAR also highlights how women embody gender inequalities at work, at home, and in the city, carrying an unequal burden of domestic and care work, and paying through their health and wellbeing outcomes the gender inequalities in unpaid care work and gender discrimination in their workplaces. I propose to move from a neoliberal approach of planning the night-time economy to an intersectional feminist approach to planning the everyday/everynight life, and argue that FPAR should be a central method of doing planning research and practice. Engaging the everyday/everynight users of cities and spaces – particularly diverse women – in planning analysis is essential to incorporate grounded knowledge that is often absent in institutional urban planning policies.

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)0.025
metaresearch head score (Gemma)0.008
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 score0.025
Threshold uncertainty score0.134

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0200.018
Scholarly communication0.0080.005
Open science0.0030.011
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.216
GPT teacher head0.455
Teacher spread0.239 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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