Bibliographic record
Abstract
ost urban Canadians now live in diverse multifaith neighbourhoods, and many wish to have a more in-depth understanding of their neighbours.Yet there is some fear about asking questions or being intrusive.Much harm occurs when friends and associates do not take time to understand another's culture or faith and then make assumptions that many ideals, values, and practices are universal.On the other hand, some people are too reserved and do not extend a hand or begin a friendship because of differences and the unknown in "the other."With people now coming to Canada from all over the world, it is impossible to know everyone's culture as well as their religious, social, and political experiences.Books -novels, biographies, and autobiographies -can start or advance cultural and religious learning, not only of the history of fellow workers, students, friends, or acquaintances but also of their emotions, struggles, and cultural practices and values.Through novels, we learn of their personal struggles and may intuit cultural and religious values and ideals as part of learning to know one another.Canadian literature now has many bicultural books, as new Canadians tell their stories of their country of origin and their life in Canada.Many of these novels have won Governor General's awards, Man Booker prizes, and other forms of recognition during the past ten years.David Augsburger says that to know one's own culture one needs to have been immersed in another culture. 2 Not everyone can live in different countries or in the midst of different cultures, even within our own continent, but most people can read novels, biographies, and autobiographies.Reading books, using one's imagination, and then having conversations with people from other cultures aids one in seeing one's own culture, as well as the ways others differ in customs, traditions, values, and ideals.The neighbour, the immigrant or refugee, and the co-worker need to be known within their former and current contexts.If friendship is to develop, a person needs to know how to discuss the other person's background and experiences.Novels give a deeper penetration into the emotions, the relationships with many people in their former context, and their difficulties of moving to Canada, leaving behind so many friends, family, schools, businesses, and previously normal activities.
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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 | 0.000 | 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".