Bibliographic record
Abstract
The difficulty that children have in perceiving plants as living entities has been verified by several studies. As an initial attempt to address this issue, we propose My Green Pet, an interactive plant for children. Through this, children enjoy human-like interactions with the plant and also perceive that this particular plant is living. This is achieved by personifying a regular plant by giving it human feelings and emotions, such as pain, joy, laughter, etc. The interactive plant is implemented over a current-based framework, which enables it to recognize multiple gestures and give audio and visual feedback to the user. The effectiveness of the interactive plant on the conception of plants on children was studied with a simple user test. We observed the children interacting with My Green Pet and noticed interactions resembling those between people. We also noticed the children being increasingly curious about the plant, resulting in spending more time with My Green Pet. A straight-forward questionnaire done by children revealed that the children's perception of life in plants greatly differed after showing My Green Pet.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.033 | 0.006 |
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".