Living a Curriculum of Hyph-E-Nations: Diversity, Equity, and Social Media
Bibliographic record
Abstract
This study considers the complexities of living a cross-cultural curriculum within the multicultural contexts of Canada through following the experience of some first generation immigrants in a project that employs the multi-dimensional space of the Internet and cyber social communities within a vocational public school in Ontario. Disrupting traditional conceptions of students’ production of literacies, the project seeks to rework the boundaries that define multiculturalism as a series of homogeneous hyphenated spaces from which students who are racialized as non-white are expected to speak. Here we consider, “what is at play in the hyphen?” and “how might the networked classroom space be considered a hyph-e-nation?” To explore these questions, we begin with an overview of multicultural education in Canada. We then employ a reading of Third Spaces and quantum physics to reread how students might open up dual Third Spaces through self representations in a social networking space: first through the social network as a Third Space and second, as certain kinds of learners caught in the hyph-e-nated middle of Canadian multiculturalism in an Ontario classroom. The case studies are followed by a discussion that problematizes discourses of comparison between cultural communities of which students with many cultural backgrounds and experiences are members.
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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 | 0.001 | 0.002 |
| 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 | 0.000 | 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".