A Comparative Analysis of the Justifications for the McMaster Nuclear Reactor Across its History
Bibliographic record
Abstract
The McMaster Nuclear Reactor (MNR) is one of four nuclear research reactors in Canada and the only one located on a university campus. When construction finished in 1959, it was the seventh university research reactor in the world. Over the interceding decades, societal perceptions of nuclear science have gone through several distinct periods. As a long-established reactor in a residential area, the MNR is a useful case study showing how global events and scientific developments can shift public opinion. Using meeting notes, speech transcripts, and newspaper articles from the McMaster archives and online databases, the image of nuclear research in society can be compared between decades. These sources consistently described the same benefits of nuclear research at McMaster throughout its history, namely its benefits for education, medical research, and its relative safety. However, the factors which received the most focus changed as global support for nuclear research fluctuated. Upon its inception, the MNR benefitted from a global interest in nuclear science and its potential for education was deemed exciting. After the nuclear disasters at Three Mile Island in 1979 and Chernobyl in 1986, constant reminders about safety mechanisms at the MNR eased paranoia. When the future of the MNR was in question in the 1990s, its isotope production for cancer treatments became instrumental in keeping it operational. The effectiveness of these arguments is paramount for researchers today as McMaster continues its research into Small Modular Reactors, which may be used to generate energy in similar residential environments.
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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 | 0.006 | 0.035 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.016 | 0.016 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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".