'Je cherche fortune' : identity, counterculture and profit in fin-de-siècle Montmartre
Bibliographic record
Abstract
This thesis examines the countercultural community in the Parisian neighbourhood of Montmartre during the 1880s and 1890s. This period stands out for its unique cultural atmosphere, heavily influenced by the turbulent advent of modernity. Traditionally accepted norms that dictated individuals' sense of identity were being questioned as new understandings of class, gender, sexuality and nationality gained acceptance. Aspiring artists and writers who sought to express these new identities were excluded from the world of official culture. Many congregated in the traditionally bohemian Montmartre where a sense of belonging to a youthful and energetic community afforded the opportunity to struggle and come to terms with their opposition to dominant ideals. Montmartre became, and continues to be, heavily commercialised but its enduring legacy testifies to its significance as herald of numerous social and cultural changes that would mark the twentieth century.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".