PEGADA NAS ESCOLAS
Bibliographic record
Abstract
This article will present the extension project Footprint in Schools: a transdisciplinary action of non-formal education aimed at students from sixth to ninth grade of public schools in Rio de Janeiro, developed by LabDIS (Laboratory of Design, Innovation and Sustainability) of the Federal University of Rio de Janeiro (UFRJ).The main objective of Footprint is to develop solutions for everyday school life, around six themes: food, garbage, transport, energy, consumption and water.The methodology is organized in the following steps: Project Triggering at school and definition of the topic to be addressed, Problematization, which studies the defined topic and contextualizes it according to the school reality, Footprint Calculation, which calculates the impact of the topic in the context of study, Search for Existing Initiatives, which conducts the search for solutions to the theme in other contexts and the final stages od Development of the solution for the school, Evaluation, Adjustment, Implementation and Project Closure.This article will address the remote implementation of the project during the COVID-19 pandemic and the main results achieved in the 2019/2021 edition.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.128 | 0.004 |
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; both teacher heads agree on what is shown here.
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".