A Cross-cultural Comparison of American and Overseas Chinese Prenatal and Postnatal Women's Online Social Support Behavior in Two Online Message Boards
Bibliographic record
Abstract
Taking a culture-centered approach within the uses and gratifications theoretical framework, a quantitative content analysis was conducted to analyze the support messages of two online message boards: the Dear Baby message board created and moderated mainly by overseas Chinese prenatal and postnatal women, and the BabyCenter message board created and moderated mainly by USAmerican prenatal and postnatal women. Both similarities and differences of the two message boards were identified in message type (seek or give support), content, support type and support behavior. Constructed narratives were produced to qualitatively analyze the voices within the context of both USAmerican and overseas Chinese online communities. The results can help researchers and practitioners to better understand how cultural characteristics of Chinese and USAmerican groups influence the patterns of women’s online social support seeking/giving behaviors, enabling them to customize specific communication programs and services to meet the needs of members of those two cultural groups.
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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 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".