An Illusory Interiority: Interrogating the discourse/s of inclusion
Bibliographic record
Abstract
It is generally accepted that the notion of inclusion derived or evolved from the practices of mainstreaming or integrating students with disabilities into regular schools. Halting the practice of segregating children with disabilities was a progressive social movement. The value of this achievement is not in dispute. However, our charter as scholars and cultural vigilantes () is to always look for how we can improve things; to avoid stasis and complacency we must continue to ask, how can we do it better? Thus, we must ask ourselves uncomfortable questions and develop a critical perspective that Foucault characterised as an ‘ethic of discomfort’ (, p. xxvi) by following the Nietzschean principle where one acts ‘counter to our time and thereby on our time ... for the benefit of a time to come’ (Nietzsche, 1874, p. 60 in , p. xxvi). This paper begins with a fundamental question for those participating in inclusive education research and scholarship—when we talk of including, into what do we seek to include?
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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 | 0.025 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.026 | 0.143 |
| Scholarly communication | 0.019 | 0.025 |
| Open science | 0.002 | 0.020 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.002 | 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".