Neurodiversity is Human Diversity, an Equity Imperative for Education
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
This article discusses historical system structures in education that have impeded on inclusion and present pertinent historical challenges, pedagogy and beliefs that are foundational in cultivating inclusive environments today. It explores Neurodiversity, an equity imperative, as critical to shifting the culture of teaching and learning by offering a potential framework for overcoming historical systemic barriers to inclusion. Next, it discusses shared attributes of epidemiology of teacher beliefs, neuroscience and Teacher self-study as potential foundational components, complimenting Neurodiversity paradigms. Lastly, a proposed theoretical framework and suggested future research which could lead to the development of an inclusive pedagogy. Education is the cornerstone to fostering talent and creativity of each individual and it is only when the system is truly inclusive of all human diversity, can individuals flourish developing their talents.
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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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