The Politics of Representation
Bibliographic record
Abstract
This thesis studies contemporary posters that are purportedly antiwar to demonstrate that they constitute a heterogenous group of signifiers.There is therefore tension between the individuality of each poster and the unity that results from the rubric of opposition to war.In general terms, this disparate group is unified in spite of internal differences.Thus a more general political concern is exposed, the ability of a particular representation to take on a universal function, speaking for differential elements as though they were equivalent.To explore difference and equivalence as structuring forces, Ernesto Laclau's concept of empty signifiers is recruited, not merely to understand these posters, but to unpack the broader political and social concerns that result.People too are represented as different or equivalent in ways which they do not control.The consequences of empty signifiers for the agency of the political subject are thus also discussed.this thesis, as well as the careful reading and advice provided by Dr. Stephen Riggins, as co-supervisor.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.024 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".