Scientific outreach : linking environmental science education in high schools with scientific research : a case study of the Schools on Board program
Bibliographic record
Abstract
In 2003 a group of international scientists unanimously supported a scientific outreach program that would take students and teachers onboard their Arctic research expedition.Five years later 'Schools on Board' field program continues to successfully link classroom education with scientific research through authentic science experiences.This is an action research project that utilizes a systematic case study approach to document the planning process and evaluate the 2004 pilot program against a set of three criteria for quality environmental science education programs, determined from the analysis of a literature review on environmental education, science education, and scientific outreach.This project successfully answers the questions "how" and "why" did this program work in 2004?The result is a better understanding of why the program continues to wo¡k from both apractical þlanning) and theoretical (pedagogical) perspective.Findings of this study include the detailed case description of the steps and key decisions made during the design, planning and implementation of this scientific outreach program, and an evaluation against the criteria identified in the study to reveal recommendations for program improvements.IV Dedicated to Dave, Jeremy, Julien, and Jamie Lynne
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 | 0.011 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.028 | 0.008 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.005 | 0.005 |
| 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".