Call and Response: Inquiry-Based Learning as a Critical Pedagogy in the Scholarship of Teaching and Learning to Promote Transformation and Transformational Leadership
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
We have been called to action as teachers—to become leaders of change in society and move forward in good ways in the Scholarship of Teaching and Learning (SoTL). To move forward in good ways, we must identify and work to deconstruct systemic racism and white supremacy embedded in all colonial institutions, including institutions of higher education. We can start this journey in higher education by responding to the call to engage with new ways of knowing and doing; we can apply critical pedagogies in the classroom. Responding to Dr. Gabrielle Weasel Head’s question “What might we miss if we do not spark students’ curiosity?,” I suggest that through the application of inquiry-based learning (IBL), we might inspire students to become curious and engage with us in the goals of social justice. In this call-and-response article, I engage with the literature and reflect on the application of IBL as both student and teacher.
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 | 0.008 | 0.006 |
| 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 | 0.001 |
| 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