Integrative Conservation for Recovering the Riverfront of Mosul Town
Bibliographic record
Abstract
Mesopotamia has seen the emergence of the dawn of civilizations and the establishment of the first cities on the banks of the Tigris and Euphrates rivers, where many ancient societies have grown from Babylonian, Assyrian and then Islamic to the present time; this requires the conservation of the most prominent historical monuments.The riverfront of the city of Mosul, with its unique and distinguished urban fabric and inhabited until the period before the last war in 2014 AD, was one of the most prominent products of those civilizations.This research attempts to develop a policy to preserve the spirit of the place by reviewing the most critical trends and policies of urban conservation, analyzing many global experiences and explaining international charters.The integrative conservation strategy was adopted by activating community participation.The research applied the method of expert interviews and questionnaires to a sample representing an educated group of society and close to decisionmaking sources, academics and the private sector to obtain qualitative and quantitative data to be statistically analyzed.The research's result was that the policy of conservation and restoration is the closest, followed by the approach of rehabilitation and then urban redevelopment and to the exclusion of the urban renewal policy.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".