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
As authors we draw from our experience of hosting two virtual design and imagination labs, where we took a deep dive into the evolution of our economic system with a diverse group, and had a profound collective experience imagining possible alternatives that promote wellbeing and flourishing of people and planet. These labs were convened by the David Suzuki Foundation in Turtle Island/Canada during the pandemic. In each Lab, approximately 60 participants were invited from across government, First Nations communities, civil society, academia, and activism. Both the process of inviting, and the lab design and process, were carefully curated with an intention to bring different world views and perspectives to take a deep dive into re-imagining our economic system. As pracademics and systems change practitioners, we reflect on what is required to make visible the underlying conditions (including worldviews, myths, and metaphors) that keep our current systems in place, and what might be needed to free ourselves to imagine alternatives. We refer to this liberation as ‘escape’ and propose six elements of ‘escape’ for transformation. The process of unlearning and releasing ourselves from unhelpful limiting assumptions and worldviews applies to those ‘facilitating’ these processes of systemic change, as much as it applies to those participating in the labs. This form of collective practice requires constant vigilance, as no single methodology of framework is fit for purpose. We reflect on what this kind of methodological pluralism invites and offers, as we bring together different ways of knowing and different knowledge systems, and re-imagine alternatives that recognise the limitations and impact of our current economic system on people and planet.
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 | 0.000 |
| 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