Christopher Dummitt’s ’Mea Culpa’ Document and Andrei Șerban’s Resignation
Bibliographic record
Abstract
The founder and promoter of gender studies, Christopher Dummitt, ended up denying, in 2019, his theory launched with unexpected success over two decades ago. He confessed that he had trafficked insignificant data in order to use it to successfully support a doctoral thesis in the perspective of a university career. Later published under the title ”The Manly Modern: Masculinity in Postwar Canada” (2007), the work had become in the meantime the ”bible” of postmodern gender studies, claiming that the sex of the individual is not an anatomical reality but a psycho-social construct that can be modified at any time. By becoming a pillar of postmodern society and Sexist-Marxist egalitarianism, the ideology initiated by him made history. Still, it also made collateral victims, such as the director Andrei Șerban. Forced by a high professional conscience, he resigned from Columbia University in the same year (2019) due to the mentalities induced by the respective theory and dogmatized in the “politically correct” form. And suddenly, the great director discovered that the world of competition and the freedom of expression has reached the highest level of art, to the point where the ideological criteria would prevail in front of the aesthetic ones, leading to a degradation of the artistic expression. Namely, it is about the shocking reencounter for Andrei Șerban precisely with the censorship mechanism he had fled from in his youth from the communist East towards the then free world of the West.
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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 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.007 | 0.012 |
| Insufficient payload (model declined to judge) | 0.009 | 0.004 |
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".