Platformized family politics: A case study of Chinese cross-border wives’ storytelling on YouTube
Bibliographic record
Abstract
This article explores Chinese cross-border wives’ experiences, challenges and coping mechanisms and their interaction with the ecology and algorithm of the platform by focusing on their storytelling and practices on YouTube. Through in-depth, semi-structured interviews, narrative analysis and more than 2 years of virtual ethnography, I observed the family politics and power dynamics presented in the videos of Chinese cross-border wives. I found two types of family politics within the ‘power game’ of interculturally married families. Wives who have experienced significant domestic injustice tend to demonstrate and reaffirm their moral capital, whereas those who are content with their marriage lives tend to demonstrate to subscribers how they play the power game with wisdom. Nevertheless, by focusing on a marginalized group on YouTube, I illustrate the platform’s role in these Chinese cross-border wives’ family politics, the great effort they made to attain popularity, the invisibility they endured and their highly unpredictable platform practice.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".