Bibliographic record
Abstract
Europe was in ferment during the nineteenth century. The American Revolution and the French Revolution, both of which had taken place during the last quarter of the eighteenth century, had brought to the fore new questions as to the status of the individual in society. The emphasis in the one on the equality of all men, and in the other on "Liberty, equality and fraternity," had inspired and given hope to some, but had struck fear into the hearts of others. It was inevitable that this should give rise to reformers, particularly in England and France, reformers who were concerned with the social and economic welfare of the working class. Beginning in 1814, Count Saint Simon, a Frenchman, who was an insistent reformer wrote a number of books with a socialistic bias. This was before the word socialism, which did not come into general use until after 1830, and long before the days of Karl Marx. Meanwhile the Scottish factory owner and philanthropist, Robert Owen, was attracting much interest in Britain by setting an example in using his own plan for a more just social organization of society. In other European countries there were also reformers who were aware of the inequities in the social and economic order under which society was organized. Reform was definitely in the air in early nineteenth century Europe.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.016 | 0.006 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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".