Working Together: Families, Schools and Communities to Develop Children with Morals
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Character education is widely used in Ontario elementary schools (Winton, 2010, p. 220). Most educators are helping their students develop character traits like: respect, responsibility and honesty to name a few. The goal of this project was to investigate character education as it widely exists in various school boards in Ontario, Canada. Specifically, this project examines the implementation of character traits by institutions and organizations such as: elementary schools, families, and communities (stakeholders). Resources relating to each institution/organization that will support the alterations and change to a more authentic character education are highlighted. Lastly, a workshop proposal will be included for leaders who want to initiate, create change, and practice an intentional and structured character education program. An actual design of the workshop in PowerPoint will be included. In summary, the overall goal of this project is to examine how schools, families and communities can contribute cohesively towards educating children to be moral beings.
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.
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) | 0.001 | 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 it