A Study of Energy Conservation Policies at (Primary) Eco-Schools in Istanbul
Bibliographic record
Abstract
Approximately 50% of the energy produced on earth is used by buildings. As for all building types, ensuring the energy conservation in primary school buildings is important in many ways. In addition to environmental and economic benefits, the systematic application of sustainable energy consumption in primary school buildings also makes a positive contribution to the education of future generations. The “Eco-Schools International Programme” aims to introduce environmental management systems into primary schools within the scope of ISO 14001/EMAS. This study examines primary schools in Istanbul that are part of the Eco-Schools International Programme. A questionnaire-based survey was administered on the theme of energy management within primary schools located in Istanbul city, and the findings of a field observation were examined. Questionnaire findings were categorized under three main themes: energy usage and conservation policies at the eco-schools’ buildings’ envelope, energy usage and conservation policies in the indoor environments of eco-schools; and types of energy sources used at eco-schools. According to the main results of the study; solar control elements on the facades, methods aimed at energy conservation from windows, energy-effective woodwork applications and independent control of energy systems (which are used in a small proportion of eco-schools) should be discussed and integrated in all eco-school buildings. It is seen that natural gas is used by 100% of survey respondents and that renewable energy resources are used only at low levels for testing purposes and/or to make small contributions to energy gain. In this context, expanded use of renewable energies at all the eco-schools should be considered.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".