Middle Class Alterity: A Critical Discourse Analysis of National Economic Identity
Bibliographic record
Abstract
Lacking concreteness and context, the use of the middle class in Canadian political discourse of recent years is simultaneously ambiguous and ubiquitous. What is meant by the middle class? Who is a member of this meta-material social stratification? Why is it so prominent in political rhetoric? And, what are the consequences of using the middle class as the primary identity guiding federal fiscal policy? With these questions in mind, this thesis explores the political discourse surrounding the usages of the middle class in an attempt to improve our understanding of how identity is operationalized discursively. Grounded in the theoretical work of Antonio Gramsci, it will be argued that discursively constructed identities, operationalized hegemonically through othering rhetoric, are used in politics to garner mass consent, frame individual/collective identity, and maintain structures of domination and oppression.
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 | 0.012 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.026 | 0.052 |
| Scholarly communication | 0.018 | 0.011 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".