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
This article follows Innis, McLuhan and others in exploring the concept of space, but does so in relation to the survival and evolution of Canadian democracy within our emerging digital world. First considering the spatial implications of Canadian geography, the country’s constitution and institutions, along with the federal government’s spending power, it then considers those associated with economic staples and particularly how these affect our institutional infrastructure, especially in disturbing cases of ‘state capture’. Alongside identifying and addressing a number of concerns relating to digital space as now configured (and which will require fundamental reform), I also probe the concept of ‘inner space’ or interiority. I do this specifically in relation to its role as one of the most valuable resources of the digital age, not only in its commercial exploitation but also in terms of its defence: ultimately, in the service of mobilizing towards a more democratic culture. In demonstrating how Canada, following McLuhan, might function as a ‘counter-environment’ that makes the ‘world environment’ of the United States perceptible to its global occupants, I maintain that what we require is the exact same cultural remedy that Innis prescribed to counter the biases of the space-binding and time-annihilating electronic space of his own time. Namely, what is required is the retrieval of what Innis referred to as ‘oral tradition’, accompanied by the necessary and concomitant re-embedding of people within their local communities.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.010 | 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