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
Cities hold both the promise of economic opportunities and social mobility yet at the same time are hosts to massive poverty and social exclusion. The nation is confronting a host of problems associated with urbanisation common to the contemporary world, such as the impact of the auto mobile and mass transits, and the pressure of modernity on traditional society and community life. The impacts of our urbanites society coupled with the common issues of modern world certainly had impacted our society and cultural values that we have uphold for generations.This paper takes a critical look at issues plaguing urban life and argues that the perfect modern city living is only in a state of mind and our daily existence are already radically different from the urban images we carry in our minds and hearts. Our city has suffered from the dreary sea of uniformity, lacking in the diversity of orchestration of spaces to completely evoke a complex and dynamic public use.This paper identifies the factors which contribute to the phenomena and that have an impact on the makings of a liveable city. This paper reiterated that the challenge lies ahead of us to make changes and improvement to our cities for the loss of our great public life and public realm in city spaces. Urban public spaces when given prominence and focus can achieve monumentality and serve as a marker or gesture for the public to engage socially. Our city must invest its future in these spaces by creating all the opportunities and forms to respond to a dynamic public environment.
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 | 0.000 | 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