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 work of Harold Adams Innis offers important contributions to the recent “infrastructural” turn in media, communication, and cultural studies. While Innis’s late communication studies texts are widely read, few outside Canada engage with his earlier economic histories and the “dirt research” (fieldwork) that produced them. The early texts offer the clearest presentation of Innis’s infrastructural orientation. The author traces the development of this orientation by focusing on three aspects of his work often remarked upon but infrequently explored: dirt, beavers, and documents. Each is paradigmatic of Innis’s methodological, conceptual, and discursive contributions, respectively, and through them, he speaks very differently than we are used to hearing. Infrastructural approaches to contemporary media networks and environments are a recursion of Innis’s earlier contributions. Integrating Innis into these debates allows us, the author argues, to move beyond the limits of his mid-twentieth-century work, and to expand the horizons of what John Durham Peters calls “infrastructuralism.”
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 | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 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