Bibliographic record
Abstract
This research project intends to explore the resilience in Ontario college and university students, and how the system of higher education may contribute to developing resilience. Resilience is the dynamic process of effectively managing and adapting to sources of stress, and can be developed at any point in life. Resilience can be a key factor for graduates to successfully navigate major changes in the world, especially in terms of working environments, economy, climate crises, and social polarity. While both colleges and universities aim their focus on enrolment targets and employability and skills-based outcomes, they are in some cases missing an opportunity to actively contribute to the resilience of students. Through primary research, this exploration will gather information with participants on how the higher education system can promote resilience in students using foresight tools such as causal layered analysis and 2x2 matrix. Following the Systemic Design Toolkit framework of problem framing, analyzing, synthesizing, and solving, this project will propose strategies to intervene in the system and promote resilience in graduates.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.008 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.004 |
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".