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Record W4398541587 · doi:10.7910/dvn/hvuu6x

Replication Data for: "The Implications of Cohabitation Between Working Age Children and Parents for Political Opinions"

2023· dataset· en· W4398541587 on OpenAlexaff
Alexandra Jabbour

Bibliographic record

VenueHarvard Dataverse · 2023
Typedataset
Languageen
FieldSocial Sciences
TopicPsychosocial Factors Impacting Youth
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsCohabitationReplication (statistics)PoliticsPsychologySociologyPolitical scienceBiologyLawVirology

Abstract

fetched live from OpenAlex

A large number of young adults still live with their parents because they have difficulties entering the job market, because of low wages, or the cost of housing. Despite much research in social science on the consequences of this salient social trend, we lack an understanding of its implications for public opinion. This research note fills this gap by investigating whether such living arrangement between working age children and their parents is correlated with household members' political stances. Specifically, I expect that the anxiety induced by seeing their children having difficulties to become independent will lead parents to hold more negatives political stances, while the same outcome is expected from working age children who failed to fly the nest compared to their independent peers. Using data from the European Social Survey in 32 countries covering the period between 2002 and 2016, I show that, for both parents and young adults, cohabitation is associated with negative evaluations of the national economy and of the government's performance. Studies that do not take into account the situation of other household members might miss an important part of the opinion formation puzzle.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Dataset
About the Canadian research system: no · About a Canadian topic: no
Not applicablemedium
gptOpen science
Domain: not available · Genre: Dataset
About the Canadian research system: no · About a Canadian topic: no
Not applicablehigh
models splitAgreement compares identical category sets and study designs across arms.

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)0.004
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.065
Threshold uncertainty score0.180

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0030.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0540.037

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 head0.159
GPT teacher head0.418
Teacher spread0.260 · 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

Labeled directly by 2 models reading the full record.

Open science

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2023
Admission routes1
Has abstractyes

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