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Record W4367147571 · doi:10.4337/9781800372214.00035

Are parenting leaves available for LGBTQ parents? Examining policies in Canada, Croatia, France, Iceland, the Netherlands and the United Kingdom

2022· book-chapter· en· W4367147571 on OpenAlexaboutno aff
Gayle Kaufman, Auður Magndís Auðardóttir, Deni Mazrekaj, Rachael N. Pettigrew, Michael Stambolis‐Ruhstorfer, Tanja Vučković Juroš, Mara A. Yerkes

Bibliographic record

VenueEdward Elgar Publishing eBooks · 2022
Typebook-chapter
Languageen
FieldSocial Sciences
TopicEuropean Law and Migration
Canadian institutionsnot available
Fundersnot available
KeywordsTransgenderLesbianParental leaveGender studiesPsychologyPolitical scienceSociology

Abstract

fetched live from OpenAlex

This chapter examines LGBTQ parents' access to parenting options and the availability of parenting leave for LGBTQ parents in Canada, Croatia, France, Iceland, the Netherlands, and the UK. The first part of the chapter provides a brief overview of the recognition and access to parenting rights of coupled LGBTQ parents in relation to same-sex marriage, adoption, assisted reproductive technology, and surrogacy. The second part of the chapter focuses on leave eligibility, (in)equality of female and male same-sex parents in access to leave, and recognition of transgender and non-binary parents as well as multi-parent families. While there have been efforts to make policies more inclusive of LGBTQ families, our case studies show that it is not only restrictions in parenting leave policies that limit leave access for LGBTQ parents but rather restrictions in policies based on gender (mothers get more leave than fathers), paths to parenthood (birth parents get more leave than adoptive parents), and views of family (multi-parent families are not recognized).

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)0.001
metaresearch head score (Gemma)0.003
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 score0.048
Threshold uncertainty score0.351

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0080.003
Scholarly communication0.0050.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.059
GPT teacher head0.253
Teacher spread0.194 · 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

Citations12
Published2022
Admission routes1
Has abstractyes

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Same venueEdward Elgar Publishing eBooksSame topicEuropean Law and MigrationFrench-language works237,207