Bibliographic record
Abstract
Cinematic Dimensions of Social TheoryMediated Associations builds on current debates over the relationship between society and the cinema, and extends the critical dialogue that has been emerging between cinematic concepts and methods of social analysis.Drawing from a broad range of philosophical, sociological, cultural, media, and cinema theorists, Daniel O'Connor develops a unique conception of the power of cinematic apparatuses.He expands our understanding of how cinema effectively resonates with its viewers and draws our attention to the constitution and control of aestheticcinematic communities.Rather than focusing on the abstract and individualizing character of cinema, Mediated Associations elucidates the collective character of cinematic objects.O'Connor argues that social theory must come to terms with the new mobilities and speed of cinema, and the various ways in which the affect -as a virtual moment of collective experience -is inserted into the flow of movement and structures cinematic events.In considering the primacy of the affect to cinematic forms of power, he examines the way in which cinema controls our associations, reconstituting our manners and habits of sociality and sociability in subtle and complex ways.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.007 | 0.002 |
| Insufficient payload (model declined to judge) | 0.889 | 0.791 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".