L’échec du rêve américain : Volkswagen Blues, Une histoire américaine, On the Road et Detroit: An American Autopsy
Bibliographic record
Abstract
This thesis investigates the failure of the American Dream through historical contexts, in particular that pertaining to African-American history, as well as by way of a corpus comprised of four main books, two by Québécois authors and two by American authors. These books include the following: Volkswagen Blues by Jacques Poulin, On the Road by Jack Kerouac, Une histoire américaine by Jacques Godbout and Detroit: An American Autopsy by Charlie LeDuff. Throughout the analysis conducted within this thesis, the failure of the American Dream was the main focus of discussion, both within literature and historically. The first part of the thesis is dedicated to the definition of the American Dream and who may achieve it. In general, anyone may accomplish it, however, whites, both historically and contemporarily, tend to have a better chance of doing so. The thesis then takes a historical look at the failure of the American Dream, specifically by way of the inequalities exemplified throughout African-American history from the 18th century to the present in comparison to the mistreatments of Québécois at the hands of Anglophone Canada. The next part takes a look at the failure of the American Dream from a literary point of view, demonstrating how the United States may at first glance seem to exemplify the realization of the American Dream. However, after further analysis, this American Dream turns out to be a failure due to many factors including government corruption, corporate greed and racial inequality. It was concluded that whether someone will achieve the American Dream depends on who is asked as well as their cultural, racial, social, economic, and historical backgrounds among other factors. In the end, the question one must ask oneself is the following: Does the concept of the American Dream still exist today?
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.010 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".