The Use of Fractals in Morphological Characterization of Medea's Urban Core in Algeria
Bibliographic record
Abstract
This research paper deals with the spatiotemporal fractal analysis of the historic fabric of the city of Medea. This method follows previous research into the use of fractals in the analysis of urban fabrics, with a particular focus on the original core of the city, without taking into account the various extensions that have taken place over time. The work focuses on the historic core of the thousand-year-old city of Medea. The aim is to compare morphological parameters, often applied to assess the fractal dimension of built-up areas, to rule on the morphological characteristics of the fabric, based on the spatial variations calculated. The results show that the fractal dimension of Medea's core has remained relatively high over the years, despite the city's partial reconstruction on itself. Diachronic characterization of an old urban fabric through fractal analysis demonstrates the value of a promising tool for studying historic fabrics, which has relatively retained its fractal dimension over the years, constituting a potential issue for outstanding value. Fractal analysis in this research is proving to be a promising tool for describing the morphology of historic fabrics, as well as for studying intra-urban genesis and simulation.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| 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) | 0.001 | 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".