The Teaching Perspectives Inventory at 10 Years and 100,000 Respondents
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
The Teaching Perspectives Inventory (TPI) measures teachers’ profiles on five contrasting views of what it means “to teach.” The inventory can be used in aiding self-reflection, developing statements of teaching philosophy, engendering conversations about teaching, and recognizing legitimate variations on excellence in teaching. Available at www.TeachingPerspectives.com , the TPI is a free, self-report, self-scoring inventory that promotes a pluralistic understanding of teaching and equips respondents with a more explicit vocabulary for reflecting on their own teaching and that of others. Ten years of accumulated responses for more than 100,000 respondents in more than 100 countries has provided a rich data bank for analysis of the instrument’s reliability, validity, and utility in promoting conversations about teaching that are respectful of disciplinary and professional signature pedagogies as well as cultural and social variations on how teaching is understood and valued.
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 | 0.003 | 0.002 |
| 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) | 0.001 | 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