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Record W2964411748 · doi:10.1177/0791603519865410

Unmarried cohabitation and its fertility in Ireland: Towards post-Catholic family dynamics?

2019· article· en· W2964411748 on OpenAlexaff
Benoı̂t Laplante, Teresa Castro Martín, Clara Cortina, Ana Fostik

Bibliographic record

VenueIrish Journal of Sociology · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Dynamics and Relationships
Canadian institutionsMcGill UniversityInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsCohabitationReferendumFertilityAbortionGender studiesNational Survey of Family GrowthIrishSociologyPolitical scienceDemographic economicsPopulationFamily planningDemographyLawEconomicsPoliticsResearch methodology

Abstract

fetched live from OpenAlex

Ireland was known for being conservative in family matters. The 2015 referendum that allowed same-sex marriage and the 2018 one that allowed abortion showed this is no longer true. This article aims at better understanding recent family change in Ireland by looking at changes in values on topics related with family behaviour and change in behaviour related with family formation–the rise of unmarried cohabitation, and childbearing within unmarried cohabitation–with a focus on the Catholic dogma and its role in the Irish society. We use data from the 2008 European Value Survey and from the five censuses conducted between 1991 and 2011. We find that the young have been moving away from the teachings of the Church on unmarried cohabitation, but that a few years before the 2018 referendum, they were still close to it on abortion. There is no clear negative relationship between cohabitation or fertility within cohabitation and education, but the use of cohabitation seems to vary according to education. The most enduring legacy of the Church doctrine seems to be the late development of family policies that make motherhood hard to reconcile with work and might explain why cohabiting women have few children.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.047
Threshold uncertainty score0.291

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.034
GPT teacher head0.327
Teacher spread0.293 · 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.

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

Citations3
Published2019
Admission routes1
Has abstractyes

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