Social Theories of the Press: Constituents of Communication Research,1840s to 1920s
Bibliographic record
Abstract
Chapter 1 Foreword Chapter 2 Mass Communication Research and Society: An Introduction Chapter 3 Communication and Change in Society: Karl Marx on Freedom of the Press Chapter 4 The Nerves of Society: Albert Schaffle on Symbolic Communication Chapter 5 The News of Society: Karl Knies on Communication and Transportation Chapter 6 The Linkages of Society: Karl Bucher on Commerce and the Press Chapter 7 The Mirrors of Society: Ferdinand Toennies on the Press and Public Opinion Chapter 8 The Conscience of Society: Max Weber on Journalism and Responsibility Chapter 9 The American Science of Society: Small, Ross, and Sumner on Communication and the Press Chapter 10 Communication and Social Thought: Decentering the Discourse of Mass Communication Research
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.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.008 | 0.011 |
| Science and technology studies | 0.004 | 0.021 |
| Scholarly communication | 0.010 | 0.012 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.012 | 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".