A perspective on <i>The Canadian Journal of Chemical Engineering</i> commemorating its 100th volume: 1929–2021
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract To celebrate the 100th volume of The Canadian Journal of Chemical Engineering ( CJCE ) in 2022, we briefly narrate its history and accomplishments. The CJCE 's journey began in 1929 with the launch of the Canadian Journal of Research ( CJR ), which transformed to the Canadian Journal of Technology ( CJT ) in 1951, and finally to its present name in 1957 as the flagship publication of the Canadian Society for Chemical Engineering (CSChE). Using statistical data and keywords mined from Clarivate's Web of Science (WoS) together with manual searches of the articles published in the CJR and CJT , we describe how the scope of chemical engineering has continued to evolve, over the past 90+ years, in becoming ever more multifaceted. Chemical engineering encompasses traditional areas, such as polymers, thermodynamics, transport phenomena, transfer and separation processes, reactor design, energy conversion, process simulation and control, and environmental science; however, it has been expanding to include biotechnology, biomedical, food processing, novel composite materials, nanotechnology, renewable/green energy, CO 2 capture and transformation, and numerical techniques like neural networks, artificial intelligence, discrete element methods, etc. Like all scientific journals, the growth and success of the CJCE are attributed to the commitment of its contributing authors. We recognize and celebrate the contributions of several prominent Canadian and international researchers, who published their articles in the CJCE . With a number of new initiatives launched in the last decade, we foresee continued improvements in the stature of the CJCE as a top‐ranked journal for publishing impactful research, leading to advancements in chemical sciences and engineering.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 it