Media Dilemmas and Countermeasures During the Citizenization of Land-Lost Farmers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Urbanization is a must-taken rod for China’s modernization. To help realize the citizenization of land-lost farmers who cannot return to the countryside is an important part of urbanization. As an important tool for individuals to enter society, mass media play an important role in the integration of land-lost farmers into the urban area. However, the citizenization process of land-lost farmers is faced with media dilemmas, including inadequate media literary, lack of media right of speech, stigmatization of media image and so on. This paper solves the above problems from three perspectives, namely the government, media and lost-land farmers, and puts forward adjustment and improvement suggestions from the above three perspectives at an attempt to genuinely help realize citizenization of land-lost farmers.
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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 | 0.002 |
| 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 it