A "21st Century Economic Agenda for America": Barack Obama's Pre-Presidential Economic Jeremiads
Bibliographic record
Abstract
This essay argues that Barack Obama's pre-presidential rhetoric serves as economic jeremiads that urge atonement in order to initiate a plan of economic change that will transform America and unite Americans in the common cause fulfilling the nation's democratic mission of providing life, liberty, and the pursuit of happiness of all citizens. Above all else, Obama's pre-presidential economic jeremiads attempt to paint a vivid picture of the real danger facing the American economic system and call Americans to act immediately in order to restore the faltering economy. Le présent essai allègue que la rhétorique pré-présidentielle de Barack Obama sert de jérémiades économiques qui incitent à un grand pardon afin d'amorcer un plan visant le changement économique qui transformera l'Amérique et unira les Américains dans une cause commune qui remplit la mission démocratique de la nation de fournir la vie, la liberté et la recherche du bonheur chez tous les citoyens. Les jérémiades économiques pré-présidentielles d'Obama tentent par-dessus tout d'illustrer en couleurs vives le danger réel auquel est confronté le système économique américain et incite les Américains à agir immédiatement afin de restaurer l'économie chancelante.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.008 |
| Scholarly communication | 0.020 | 0.010 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.005 | 0.012 |
| Insufficient payload (model declined to judge) | 0.009 | 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".