Energy Management Supported by Various Actors in Residential Rehabilitation Projects: Example of Building Rehabilitation on Tripoli Street, Municipality of Hussein-Dey, Algiers, Algeria
Bibliographic record
Abstract
Energy management is a global issue that has piqued Algeria’s interest since the late 1990s, prompting the country to strengthen its legal framework to promote the integration of energy efficiency. However, the energy efficiency program, designated a national priority, is difficult to implement. This article examines how institutional, technical, and social actors manage residential energy efficiency in a residential rehabilitation project on Tripoli Street in the Algiers municipality of Hussein-Dey. The goal is to comprehend each actor’s role and its true significance in energy management. Furthermore, it allows us to contrast the reality on the ground, as constructed by technical actors and experienced by residents, with the ambitious political discourse that reflects a clear desire for this program. The analysis of technical and regulatory documents and the field survey combining interviews and questionnaires revealed that energy management could not be achieved without the genuine participation of all stakeholders, particularly residents who are hesitant to adhere to and finance the energy aspects of their house renovations. It demonstrates the importance of supplementing Algeria’s energy management policy with regulatory, financial, and communication measures.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".