Bibliographic record
Abstract
The discussion in this paper examines the influence of Harold Innis’ medium theory on contemporary media and communication scholarship in Canada and abroad. The methodological construction of Innis’ medium theory comprises several dimensions including: media bias; the exercising of power through the use and control of media; the bias of communication media toward favouring control over space and control through time; the role of governance in overcoming the bias inherent in media; a materialist understanding of civilizations; space-media outpacing time-media; and dialectics. In this paper particular attention is given to two issues. The first is the connections between Innis’ political economy approach and the work of Marshall McLuhan on the one hand, and the ecological studies of David Suzuki on the other. Both McLuhan and Suzuki, it is argued, may be seen as filling in important gaps in Innis’ work. The second focuses on the reasons why Innis’ medium theory has struck a chord with the Canadian psyche. This stands in stark contrast to the apparent neglect of Innis’ work within American media and communication scholarship.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.010 |
| Science and technology studies | 0.032 | 0.028 |
| Scholarly communication | 0.014 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".