Bibliographic record
Abstract
In this essay “The City’s Charms and Challenges” 城巿的诱惑·城市的挑战' by P K Leung (alias Ye Si 也斯) published in Zhong Hua Du Shu Bao (《 中华读书报》) in 2013, Leung traces his own journey as he -- just like many other Chinese families -- moved with his family from Guangdong to Hong Kong in 1949, where he grew up, lived and taught, becoming one of the best-known Hong Kong writers. In the essay, he also mapped out the early beginnings of Hong Kong literature, its intrinsic roots in Chinese literature, and how it has thrived amidst the socio-cultural and historical changes in Hong Kong in the last few decades. In charting the locality of places, the difference between the urban and the rural living in Hong Kong, Leung highlights the importance to acknowledge the complex layers and dimensions of Hong Kong literature, where both Chinese and English languages and different cultures intersect.
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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".