Business models for the Anthropocene: accelerating sustainability transformations in the private sector
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 rapid pace and escalating severity of climate change impacts have made clear that current incremental approaches to pressing global socio-ecological challenges are insufficient to address the root causes of unsustainable development. This has spurred increasing interest in the dynamics of transformation: the actors, capacities and resources needed to fundamentally shift development paths. The private sector is at the core of essential transformative processes necessary to build a future premised on environmental integrity, social inclusivity, and resilience. The activities of the private sector are structured and driven by their underlying business model, which is at its core a set of assumptions about how a business creates, extracts and delivers value. Dominant conceptualizations of the business model remain a narrow imagining of how business interacts with societal processes and shape development patterns. In this article we call for the conceptualization and design of business models anchored in societal purpose and operating within planetary boundaries, apt for the Anthropocene. We identify five building blocks for business models where transdisciplinary sustainability research can accelerate entrepreneurial activity that fosters desirable sustainable pathways by enabling the creation of new capabilities in support of broader transformational processes. This article seeks to inform (and potentially re-orient the efforts of) transdisciplinary scholars engaging the private sector in the co-production of community-based sustainability and resilience-building initiatives. Likewise, the building blocks provide a guide for businesses who aim to deepen their capacity to build new partnerships, identify, and incorporate new information on climate risk into their operations and develop practices, sequences and procedures oriented toward the sustainable development goals and disaster resilience.
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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 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