Bibliographic record
Abstract
More than one quarter of all births registered annually in Romania are non-marital. We investigate this phenomenon, in our attempt to see whether this behaviour is post-modern or is an expression of socio-economic disadvantages. We conduct our analysis on Generations and Gender Survey (2005) data, whose retrospective design allows us to reconstruct the partnership and fertility histories of almost 6,000 women. Thus, we can approach the topic of non-marital childbearing from the life course perspective, by the technique of event history analysis. We will investigate the effect of different factors on the risk of childbearing in a context different than marriage: characteristics of parental home and the family environment where the woman grew up (urban/rural, residence with both parents, number of siblings, mother’s education), as well as the effect of personal characteristics (education level). We will differentiate and approach separately births of single mothers (those not being in a co-residential relationship at the moment of birth) and births in consensual unions, comparing them with marital births. Results show that childbearing outside marriage in Romania is rather associated with socio-economic disadvantages and a low level of education
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".