Bibliographic record
Abstract
Ahmedabad is the most prominent city of the state of Gujarat, in western India. Gujarat has since time immemorial been renowned for its entrepreneurial spirit. It has made significant contributions to the Indian economy. Gujarat has spearheaded India’s march to global superpower status, prompting the state to label itself the ‘Growth Engine of India’ (Shah and Shukla, 2009). Ahmedabad was the state capital of Gujarat until 1970. Not only is it a bustling industrial and commercial center, it also has a fascinating old quarter of high historical and cultural interest. Mehta and Jamindar (1988) trace the history of Ahmedabad from prehistoric times, with its stature of a capital city nearly uninterrupted from the 15 th century to almost the present day. The Vastu-Shilpa Foundation (2002) has chronicled the city’s growth over the centuries. Called by various names over the millennia including Ashapalli, Ashaval, Karnavati, Rajnagar, Ahmedabad/Ahmadabad and Amdavad, the city’s unique essence resides in its self-reliance and commercial flair. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.026 | 0.004 |
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 source (direct Gemma or distilled Codex), 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".