Media, Structures, and Power: The Robert E. Babe Collection
Bibliographic record
Abstract
Media, Structures, and Power is a collection of the scholarly writing of Canada's leading communication and media studies scholar, Robert E. Babe. Spanning almost four decades of scholarship, the volume reflects the breadth of Babe's work, from media and economics to communications history and political economy.\nBabe famously characterized Canadian scholars' distinctive contribution to knowledge as uniquely historical, holistic, and dialectical. The essays in Media, Structures, and Power reflect this particular strength. With a clarity of vision, Babe critiques mainstream economics, Canadian government policy, and postmodernist thought in social science. Containing introductions and contributions by other prominent scholars, this volume situates Babe's work within contemporary scholarship and underscores the extent to which he is one of Canada's most prescient thinkers. His interdisciplinary analyses will remain timely and influential well into the twenty-first century. (From online book description)
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
Edited collection of a Canadian media scholar's essays on media, economics, and political economy; the substantive content is communication theory, though the framing about Canadian scholarship's distinctive contribution to knowledge gives it a faint intellectual-history flavor and the blurb is thin.
This collection concerns media and communication scholarship, not research practice as an object of study.
Collected media and political-economy scholarship; object is communication theory, not research systems.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.015 | 0.014 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".