Bibliographic record
Abstract
The articles published in our Fall 2016 edition are connected loosely under the themes of public memory and the uses of identity in the past. We are thrilled to present to you three excellent articles in our Fall 2016 edition: The article "Dentro de la Revolución: Mobilizing the Artist in Alfredo Sosa Bravo's Libertad, Cultura, Igualdad (1961)" analyzes Cuban artwork as multi-layered work of propaganda whose conditions of creation, content, and exhibition reinforce a relationship of collaboration between artists and the state-run cultural institutions of post-revolutionary Cuba; moving through fifty years of history “’I Shall Never Forget’: The Civil War in American Historical Memory, 1863-1915" provides a captivating look at the role of reconciliationist and emancipationist intellectuals, politicians, and organizations as they contested and shaped the enduring memory of the Civil War; and finally, the article “Politics as Metis Ethnogenesis in Red River: Instrumental Ethnogenesis in the 1830s and 1840s in Red River” takes the reader through a historical analysis of the development of the Metis identity as a means to further their economic rights. We wholly hope you enjoy our Fall 2016 edition as much as our staff has enjoyed curating it. Editors Jean Middleton and Emily Kaliel Assistant Editors Magie Aiken and Hannah Rudderham Senior Reviewers Emily Tran Connor Thompson Callum McDonald James Matiko Bronte Wells
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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 | 0.007 | 0.063 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.012 | 0.012 |
| Insufficient payload (model declined to judge) | 0.221 | 0.180 |
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".