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Record W3186540263 · doi:10.55016/ojs/sppp.v14i1.72237

Gender Disparities in the Labour Market? Examining the COVID-19 Pandemic in Alberta

2021· article· en· W3186540263 on OpenAlexaffabout
Lindsay M. Tedds, John Baker, Kourtney Koebel

Bibliographic record

VenueThe School of Public Policy Publications · 2021
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsUniversity of Calgary
FundersAustralian Government
KeywordsCoronavirus disease 2019 (COVID-19)Pandemic2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Demographic economicsBusinessPolitical scienceEconomicsMedicineVirologyOutbreak

Abstract

fetched live from OpenAlex

The initial wave of the COVID-19 pandemic generated large labour market disparities between men and women; however, in Alberta these differences did not persist beyond summer 2020. Instead, the pandemic continues to persistently and negatively affect the labour market patterns of parents with young children, regardless of the parent’s gender. This finding should guide policy-makers when planning for the province’s economic recovery. Using data from Alberta up to and including the December 2020 release of the Labour Force Survey, we do not find evidence that the “she-cession” continued into Alberta’s second round of health restriction measures. Instead, we find that school transitions to virtual learning, daycare closures, and parents opting for online learning resulted in profound and persistent effects on workers with young children compared to workers without children. Recovery plans focusing solely on gender may be therefore insufficient for addressing the effects that different groups have experienced during the pandemic. Policy-makers should target policies towards both mothers and fathers with young children. Moreover, new policies should be aimed at supporting parents so that they do not face additional stress over how they will pay their bills and feed their families if they lose their jobs or must reduce their hours to stay home to care for their children. The Canada Recovery Caregiving Benefit (CRCB) should remain in place until all threats of school and child-care facility closures are past. Alberta has received approximately $144 million in direct CRCB subsidies, but the weekly amount of $500 per recipient is less than minimum wage in a full-time job, meaning parents still may be unable to pay bills and meet their families’ needs. The province should top up the CRCB for lower- or single-income parents. Employment Insurance benefits should be made available to parents who quit their jobs to take care of their children as a direct result of public health measures. As well, those parents with young children who receive welfare payments should not be required to search for jobs while public health measures remain in place. The Alberta government needs to work together with the federal government to provide adequate support to daycare centres and schools to cover the added pandemic-related costs. Alberta received $87 million in federal funding to help with those costs and has itself contributed $17.8 million to extra health and safety measures in daycare centres. This is money well spent, for when parents feel their children are in a safe place, they will not keep them at home and jeopardize or lose their own employment. However, the end of the pandemic will not mean an abrupt end to its effects on the labour market. Even though this paper finds no differences in the situations of employed men and women, the latter may experience more labour market friction in the long run, due to missed opportunities for on-the-job training and work experience. One benefit that can come out of the labour market disruptions caused by the pandemic is a renewed focus on addressing pre-pandemic inequities between men and women with children. From this perspective, Alberta should celebrate and embrace the recent federal commitment to a Canada-wide early learning and child care plan.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.247

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.221
GPT teacher head0.448
Teacher spread0.227 · 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 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

Citations0
Published2021
Admission routes2
Has abstractyes

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