Undergraduate Internship on Yamuna River Exploration: Raising Awareness about SDG6
Bibliographic record
Abstract
A semester-long internship was designed for undergraduate students at the University of Delhi, India. Teams comprising 30 students from all over the University were trained to carry out field exploration activities on the Yamuna River flowing in Delhi. The students were provided with portable kits to measure the physicochemical parameters at a selected bank of the Yamuna River. Students documented the invertebrate fauna in the riparian zone of the banks. At the same time, they noted the anthropogenic polluting activities on the bank of the Yamuna River. This internship educated students about the UN’s Sustainable Development Goals (SDGs). They all studied Ecology and Environmental Science in their undergraduate curriculum, but they all confessed that they were unaware of the 17 SDGs and the deteriorating health of the Yamuna River in the city. We educated students about the freshwater emergency recovery plan and the International Union for Conservation of Nature (IUCN) red list of ecosystems. This internship is a great example of an undergraduate-directed study or research experience that supported student constructivism and inquiry-based learning, and this research article elaborates on student reports and situational interest in freshwater biology to achieve SDG6.
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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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".