Bibliographic record
Abstract
For the past 13 years, I have used the Toshiba/National Science Teachers Association (NSTA) ExploraVision Awards to structure my school's Extracurricular Research and Development (RD develop a vision of how the issue can be addressed within the next 20 years; and create an in-depth report detailing their research and vision. The report contains five storyboards (or web graphics) that can be incorporated into a website if the team makes it to the final round of the competition. To enter the competition, teams submit a contest entry form and their written report, which contains an abstract, description, and bibliography and must not exceed 11 pages. The description section of this report should provide a current overview of the associated technology, its history, and its future--including the scientific principles involved and the breakthroughs required to make the proposed technology a reality. The report must also present a brief summary of three alternative prototypes considered by the team, a summary of the design process, and an overview of the technology's potential consequences--both positive and negative. In addition, the five storyboards that communicate the team's vision--and adhere to the stated style and web graphic requirements--should be included in the report. Deviation from these requirements results in disqualification. There are four grade-level divisions in the ExploraVision competition: grades K-3, 4-6, 7-9, and 10-12. In each grade-level division, the first-place team in each of six regions across the United States and Canada advances to the final round. In the regional competition, the school of each first-place team is awarded a Toshiba laptop with web page development software. The final--or national--round of the competition requires teams to submit a website that can be viewed in its entirety in 5 minutes or less. The website must include a 1-2 minute video explaining the workings of the team's technology prototype. In this round, members of the first-place teams in each of the four grade-level divisions receive a $10,000 savings bond, and those on the second-place teams receive a $5,000 savings bond. Members of the top two teams in each division and their families, teacher-advisor, and optional mentor are awarded expense-paid trips to Washington, DC, to attend the Toshiba/NSTA ExploraVision Awards Ceremony and meet state and national government officials. Starting a team I publicize the Extracurricular R&D teams in early October by sending an e-mail inviting all students to attend an informational meeting. The day before the meeting, I send reminder e-mails and post signs on school bulletin boards. To begin the meeting, I introduce students to past ExploraVision projects, discuss how I work with individual teams in project development, review the competition rules and time requirements, and answer any questions that students may have. …
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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 | 0.014 | 0.013 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.005 | 0.013 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.106 | 0.073 |
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".