How can we help all students RISE?
Bibliographic record
Abstract
This collection of short essays utilizes a narrative approach to present the RISE framework, with four pillars centered on promoting student Resilience, Identity, Strength in Scholarship and Empowerment. Each short essay aims to draw attention to the spectrum of challenges that students currently face during their higher education journeys in Canada and what innovative solutions have been or could be implemented to address these adversities in accordance with RISE. The application of the framework to evaluate and reorient learning environments in Canadian higher education holds immense potential to help all students grow as collaborative thinkers, partners, and leaders that will leave academic settings well prepared for their life as leaders in their community.
 
 Dans cet article qui rassemble de courts essais, nous utilisons une approche narrative pour présenter le cadre RISE en l’appuyant sur quatre piliers permettant de promouvoir la Résilience, l’Identité, la Solidité universitaire et l’Émancipation. Chacun des courts essais vise à mettre en relief, d’une part, l’éventail des défis auxquels les étudiants font face actuellement dans l’enseignement supérieur au Canada et, d’autre part, les solutions novatrices qui ont été mises en œuvre – ou qui pourraient l’être – pour s’attaquer à ces difficultés dans le contexte de RISE. L’application de ce cadre dans l’examen et la reconfiguration des environnements d’apprentissage de l’enseignement supérieur au Canada est pleine de promesses. Voilà qui pourrait aider tous les étudiants à devenir des penseurs collaboratifs, des partenaires et des leaders qui, lorsqu’ils quitteront l’université, seront prêts à agir comme des chefs de file de leur communauté.
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 | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 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 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".