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Record W1040130143 · doi:10.1007/978-3-531-91980-5_8

Stepfamilies in Canada and Germany, a Comparison

2008· book-chapter· de· W1040130143 on OpenAlexaffabout
Valérie Martin, Céline Le Bourdais

Bibliographic record

VenueVS Verlag für Sozialwissenschaften eBooks · 2008
Typebook-chapter
Languagede
FieldSocial Sciences
TopicFamily Dynamics and Relationships
Canadian institutionsMcGill University
Fundersnot available
KeywordsStepfamilyPsychologyGenealogyPolitical scienceGeographyHistoryDevelopmental psychology

Abstract

fetched live from OpenAlex

According to the last General Social Survey (GSS) on family, there were slightly over 500.000 stepfamilies living in Canada in 2001. These families represented 11,8% of all couples living with children of any given age in their household, and 9,2% of both one- and two-parent families comprising children (Statistics Canada 2002). These figures are a little higher than the percentage of 7% of stepfamilies observed in Germany among two-parent families comprising at least one child under the age of 18 (Teubner 2002a). The proportion of stepfamilies has been rising steadily over the past decades, as the rates of divorce and separation increased, and it is most likely to keep growing in the future as conjugal instability remains high. Stepfamilies, which comprise at least one child born from a previous relationship, differ in many respects from “intact families” that solely comprise children born to the ongoing couple, and they have sometimes been categorized as a form of dysfunctional families (Saint-Jacques 1998; Théry 1987). Yet, quantitative research on stepfamilies is still passably rare and international comparisons remain few, perhaps due to the difficulties encountered when trying to identify and analyse this type of families. This chapter aims to draw a broad portrait of current stepfamilies in Canada and to compare it against that described in Germany by Bien et al. (2002).

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)0.000
metaresearch head score (Gemma)0.001
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 score0.037
Threshold uncertainty score0.265

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.008
Science and technology studies0.0040.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.000
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 head0.025
GPT teacher head0.258
Teacher spread0.233 · 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

Citations11
Published2008
Admission routes2
Has abstractyes

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