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Record W3133618726 · doi:10.1111/cag.12681

The feminist economic geographies of working from home and “digital by default” in Canada before, during, and after COVID‐19

2021· review· en· W3133618726 on OpenAlexaffvenueabout
Daniel Cockayne

Bibliographic record

VenueCanadian Geographies / Géographies canadiennes · 2021
Typereview
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsArgument (complex analysis)Context (archaeology)PandemicSociologyCoronavirus disease 2019 (COVID-19)Work (physics)Gender studiesPolitical scienceGeographyMedicine

Abstract

fetched live from OpenAlex

This paper builds on insights in feminist economic geography to critically review the literature on work in the home and provide a starting point for examining COVID‐19 pandemic‐imposed work from home measures for tertiary and quaternary sector firms and organizations. It critically reviews literature on the pandemic, working from home, and work in general, to examine lockdown‐related workplace disruptions in relation to the various forms of work that took place in the home prior to the pandemic. It argues that feminist economic geography provides a starting point for examinations of working from home during and after COVID‐19. This situates writing on social reproduction, and informal and unpaid work in the home, within the purview of our understanding of pandemic response. Following this review, the paper demonstrates this argument by interrogating Canada's “telework capacity” discourse and the decisions by white‐collar offices regarding the continuation and abatement of “digital by default” policies. The pandemic will radically shift our understanding of the meanings of both home and work, and this paper, through a critical review of key literature, suggests that feminist economic geography provides one starting point for theorizing the implications of that shift in the Canadian context .

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.905
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0030.004
Science and technology studies0.0020.006
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.013
GPT teacher head0.226
Teacher spread0.214 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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

Citations39
Published2021
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Geographies / Géographies canadiennesSame topicWork-Family Balance ChallengesFrench-language works237,207