Confucian or Communist, post-Mao or postmodern? : exploring the narrative identity resources of Shanghaiâs Post-80s generation
Bibliographic record
Abstract
It is 30 years after Post-Mao reforms, 20 years after Tiananmen Square demonstrations, and the\nnext generation of “comrades” are emerging in China. They are called the Balinghou or “Post-\n80s” generation, referring to the cohort born between 1980 and 1989. This study addresses an\nempirical gap by exploring the narrative resources Shanghai’s Post-80s young adults call on to\nconstruct their identities, given the historical situation in which they live. This exploration is\nachieved through qualitative empirical data by employing a combination of narrative analysis\nand ethnography. Data analysis uncovers narrative resources clustered around three common\nthemes: generational identity, structural resources, and personal lives. Further refection reveals\nthat the extent to which identity is narratively expressed can be culturally constrained. Although\nthe Balinghou encounter unique external factors such as the One Child Policy and rapid\neconomic growth and reform in China, their narrative identity resources are more related to their\nperceptions of life stages than unprecedented historical circumstance.\nKeywords: narrative, identity, life course, symbolic interactionism, China, Shanghai, Balinghou,\nPost-80s generation
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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 | 0.004 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| 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".