The Urban Fringes Governance of the Algerian City of Djelfa: Problem of Citizen Exclusion and Non-coordination of Actors
Bibliographic record
Abstract
In Algeria, academic research and public action are not sufficiently interested in peri-urban territories. Due to their particularity of stakes and heterogeneity of actors, they become complex and constraining territories for intervention. The urban fringes of the city of Djelfa, in the heart of the central highlands, are subject to poor management, as evidenced by rapid urbanisation, the nibbling of reforested areas and the interruption of specific development projects on these fringes. The objective of this research is to demonstrate the real reasons for the poor governance of these territories. One of these reasons is the deprivation of citizens’ right to be involved. In other words, the absence of fundamental mechanisms of coordination between the actors and the margins of manoeuvre of each organisation leads to the insufficient regulation of these territories. To this end, semi-structured interviews with stakeholders in two development projects on the eastern and southeastern fringes of the city were used. These surveys analysed the different stakeholder’s positions in the development projects of the peri-urban areas of the town to grasp the involvement and coordination between the actors.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".