Book Launch and Scientific Workshop "Follow Your Heart. The School for Multipotentialites"
Bibliographic record
Abstract
The overall aim of this report is to document the experience gained during the book launch and co-created, experiential workshop on the book "Follow Your Heart: the school for multipotentialites." Reflecting on the dynamic process triggered by the research gathered and further developed throughout the book helps to create ideas and practices toward transformative change in research and education. The authors planned three book launches, structured as innovative academic presentations combined with creativity workshops that follow some of the suggested activities that were specifically created for the book. The first book launch was held in Shepton Mallet, Somerset, UK, and hosted by the educational farm The Good Life Projects, coordinated by Craig Stevens, on February 18, 2023. The proceeds from the book launch (collected through book sales) were donated to Windsor Hill Wood, a place of refuge and community in the local area that helps people heal, grow, and rebuild their lives while taking care of nature and encouraging sustainable livelihoods. Windsor Hill Wood as a community and philosophy closely align with the authors' beliefs and the main concepts of Follow Your Heart, which made the overall impact of the first book launch exceptionally more meaningful. This report is designed to share the key insights from the event and promote further discussion within the field of emotional and ecological education, in line with the project ECO_CARE. The report is accordingly divided into the following sections: 1. Introduction; 2. Follow Your Heart: audience, vision and development; 3. Ways forward; 4. Reference list.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.098 | 0.034 |
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".