Bibliographic record
Abstract
Since the late 2000s, many rural-to-urban migrants in China have lost their rural land to development plans, resettled in designated areas, and acquired formal urban residency. They stopped migrating, and have apparently ended their life of "suspension," namely protracted mobility. While most existing research literature on this population foregrounds the issue of land dispossession, this article argues that, following resettlement, these former migrants' lives can be more accurately characterized as a state of suspension instead of dispossession. Many resettled young adults, while having secured livelihood thanks to state compensation, are excluded from the technology- and capital-intensive developments to which they have lost their land. Some of these young people instead became petty speculators and rentier capitalists by liquidating their compensated assets through mortgages, private lending, rent, and other financial means. They are constantly waiting for the next investment opportunity and windfall gain. Although physically settled down and economically secure, they remain anxious and unsettled. They continue to orient their lives towards an elusive future rather than striving to transform the here and now, thus living in a state that I call "suspension 2.0."
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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 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".