WITTGENSTEIN’S CONTEXTUALIST APPROACH TO JUDGING “SOUND” TEACHING: ESCAPING ENTHRALLMENT IN CRITERIA‐BASED ASSESSMENTS
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
A bstract Comparing the early, analytic attempt to define “sound” teaching with the current use of criteria‐based rating schemes, Jeff Stickney turns to Wittgenstein’s holistic, contextualist approach to judging teaching against its complex “background” within our form of life . To exemplify this approach, Stickney presents cases of classroom practice (reexplanation), auditioning dance students, teacher inspection, and mentoring student teachers. These examples highlight problems with the epistemological and criterial construal of teaching, in that both sets of rules tend to constrict unnecessarily the ranges of “reasonable” practice. Shifting to the contextualist approach, according to Stickney, reveals these occluded, political aspects of assessing the “soundness” of teaching and invites a renegotiation of arbitrary limits.
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 | 0.001 | 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