Holistic Learning-Centeredness: De-Centering the University for Social Justice
Bibliographic record
Abstract
Many colleges and universities have begun to shift their orientation from teaching-centered (privileging the teacher and the content) to student-centered (designing courses and curricula based on students’ perspectives, needs, and desires). Higher education needs to take the next step by acknowledging that the campus as only one locus of student learning out of many. Students learn from all aspects of their lives, and higher education institutions should—by implementing ePortfolios and other tools for integration and reflection—focus on helping students connect and reflect upon what they learn not only in the curriculum and co-curriculum, but also in their families, workplaces, friendships, and elsewhere. Building upon the scholarly literature on learner-centered teaching in diverse settings, I argue that de-centering the college campus in favor of a more fully learner-centered perspective will further social justice by honoring the multiple communities—especially those with less socioeconomic privilege—in which our students live and learn, and transform and energize ourselves as teachers.
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.
How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".