Bibliographic record
Abstract
This study examines how individuals go about interweaving ideology with daily living to arrive at their own ideas about family practice. In Singapore, families constitute a rich ground for study due to the country’s multicultural composition (77% ethnic Chinese, 14% Malay Muslim and 8% Hindu Indian). Four decades of rapid industrial development have wrought a parallel transformation in the way family life is conducted. The qualitative approach was chosen to better capture how families grapple with changes brought by capitalist industrialization to create their family of choice. The first section introduces the way families are conceived and talked about amongst various sections of the population. Broad transformations in family behavior are then traced through investigation of three-generation families to see how grandmothers, daughters and grand-daughters deal with both traditionally defined modes of conduct and newly emerging norms pioneering family behavior. The way men and women negotiate how they handle work and family demands in contemporary Singapore is then revealed through examination of families established by working couples. By focusing on members struggling with both work and domestic obligations, this section spotlights individuals in the process of creating and re-creating their own unique roles in the family. The family scenarios delineated by respondents challenge the idea that the family is eternal and unchanging. Instead, we are exposed to the family in a state of continual flux and uneven transformation.
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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 | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".