The National Research Council of Canada's 2023-2027 departmental sustainable development strategy
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
The National Research Council of Canada's (NRC) 2023 to 2027 Departmental Sustainable Development Strategy (DSDS) highlights the ways in which the department will contribute to the Government of Canada's Federal Sustainable Development Strategy (FSDS), including specific actions that will be taken to address all 3 dimensions of sustainable development— social, economic and environmental— as well as indicators and targets that will be used to measure success. This is the NRC's second DSDS; its first, developed in 2019, covered the period of 2020 to 2023 and included 26 commitments to support sustainable development. This DSDS includes 59 sustainability commitments to be achieved over the next 4 years, each with its own performance metrics and targets. The DSDS reflects the NRC's key sustainable development priorities, including accelerating the development of clean, renewable fuels, and energy storage materials; developing the technologies needed to grow supply chains for low‑carbon mobility and sustainable transportation; supporting the Canadian aviation and construction sector's decarbonization transition; investing in and supporting the growth of Canada's clean tech sector; increasing the value of plant-based proteins and their co-products, supporting strong and resilient Northern and Indigenous communities; improving the delivery of secure, affordable and high-speed internet services in rural and remote communities across Canada through new technologies; fostering an inclusive and diverse workplace; and, transforming NRC operations to ensure they are sustainable and climate resilient. Transparency and accountability are central to the FSDS and corresponding departmental strategies; therefore, progress made against the NRC's DSDS commitments will be captured in 2 reports to be published in fall 2024-25 and 2025-26. These reports will outline key sustainability success stories, achievements to-date and areas where concerted effort will continue to be directed.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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