The development of consciousness and positionality of a recently immigrated international student in engineering education in Canada
Bibliographic record
Abstract
The first engineering education institution in the American continent was the Royal Academy of Artillery, Fortification and Design, from Rio de Janeiro, Brazil [1]. The institution was funded in 1792 in a military context to build forts to protect the Portuguese colony from the local populations [2]. There are connections between engineering and colonization that persist today, and manifest in different ways. For example, for centuries, Canada has relied on settlers for labor. Many immigrants are professionals and students who develop knowledges, skills, and behaviours needed for jobs to support the Canadian economy. Immigrants may arrive with no historical background, ignorant of the history and current colonial situation in Canada. This can make international student immigrants an instrument for maintaining the colonial structure of the state. In the academia, there is not always time to reflect on the systems that the university assists in reproducing. This paper is a personal reflection on my experiences and my role as an international student in engineering education in the colonial Canadian context of the XXI century.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.037 | 0.018 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".