Embedded Strategies for the Sustainability Transition - Setting Priorities and Goals Aligned with Systems Resilience
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
It is time for companies to take a very different approach to corporate strategy. Our Embedded Strategies guide helps companies respond to the growing calls for businesses to articulate their purpose and their strategy in alignment with the need to shift the global economy towards the reduction of inequality, a rapid climate transition, the preservation of biodiversity, and the elimination of waste. This guide will help you to develop a contextual strategy and goals that ensure your company is doing its part to maintain the resilience of key social and environmental systems. Building on our Road to Context guide with insights from 300+ interviews with senior executives, CEOs, board chairs, and directors and our experiences supporting companies around the world, it outlines resources and tactics that help your company to scan for emerging issues and risks; understand their implications for your business; understand your impacts and your potential for positive influence; prioritise where it makes sense to direct your efforts; and set your strategy and goals in alignment with delivering systems value.
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 | 0.004 |
| 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 | 0.001 | 0.001 |
| 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 it