Bibliographic record
Abstract
Canada has been well known for its openness to accept new immigrants and welcome international students, and it has made Canada a multicultural country with people from diverse backgrounds. Yet, despite this focus on building multicultural coexistence, Canada has not significantly promoted to send Canadians abroad for experiential learning. Economically developed countries such as Japan, Korea, and the USA have governmental volunteering programs, which are financed by taxes, to send their own citizens abroad for two years as part of human development. On the other hand, in Canada, there is no such program and only some NGOs are hosting international volunteering. Moreover, even for those governmental programs, the main interest has been building a relationship with the local governments and cares the fact to present how much efforts the government has made for international cooperation. Little attention has been paid for volunteers’ discursive experience, learning process they go through, and how the experience has had impact on them and their life. This research sheds light on international volunteering as informal learning/life-long learning for citizenship education/global education, which lets volunteers immersed in new cultural contexts with new language(s), exposes them through the learning process, and impacts them and their life.
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 | 0.000 |
| 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 | 0.001 | 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".