Analysis of Behaviors along the Waterside in a Chinese Residential Quarter
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
The aim of this study is to investigate the behaviors of residents along the waterside in a Chinese residential quarter. Based on Hayashi's Quantification Theory Type III and Cluster Analysis and information collected through this study, the waterfront spaces are classified into nine types, each of which have unique statistical characteristics concerning behaviors. The results show that the residents tend to wait for companions of their respective defined groups frequently while they are walking along the brook. They rarely play with water in the pond if they are uncertain about the water depth, and also stay longer chatting with friends if they can find vacant benches on the deck along the pond. The residents typically hang around more frequently in waterfront spaces to either play in shallow water, if the weather permits, or enjoy the view of the brook although they may stop for a shorter time on stepping-stones. Scientifically identified human behaviors have shown that they are influenced by these different types of waterfront spaces that are described in detail in this paper.
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.
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 | 0.001 | 0.001 |
| 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) | 0.000 | 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