Perspective Chapter: Evolving Education – In Search of a Model for Being Well
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
Violence in schools is rising around the world. Causes are many—neoliberalism contracts curricula while technology often reduces our understanding to binaries. Materialism job insecurity, lack of opportunity, economic instability, mass migration, civil unrest, armed conflict and famine contribute to a less than happy society. These factors may currently be beyond our control. However, we can control how we school our younger generations. There is no simple or single response, and it is incumbent upon all members of society to invest in education. Beginning with students, this chapter discusses their needs and wants before identifying what teachers can do to improve education by increasing wellbeing. We then move to administrators in schools and school districts, before identifying how universities and education programs can help to develop a sense of wellbeing. Finally, we come full circle and address the society as an extension of our education community. At issue is the development of a society that is capable of being well.
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 | 0.001 | 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) | 0.000 | 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