From feudal colonization to agrarian capitalism in Mallorca: Peasant endurance under the rise and fall of large estates (1229–1900)
Bibliographic record
Abstract
The colonization of Mallorca gave rise to a late‐feudal agrarian society that evolved towards capitalism based on large estates owned by noblemen who hired large numbers of wage labourers from among smallholders living in agro‐towns, the dispossessed remnants of a formerly wealthier peasantry. These well‐off peasants originated from when the colonization frontier was open in the 13th and 14th centuries, but had been defeated when three peasant–plebeian revolts were crushed. Afterwards, Mallorca followed a latifundist transition towards agrarian capitalism similar to southern Italy or Spain, in sharp contrast with the middle‐peasant paths seen in Catalonia or Valencia. The land rent rose, while agricultural wages fell from 1659 to 1800. Peasant families could not survive, and had to supplement wages with the products of their own plots. This set a socio‐agroecological limit to growth in this agrarian class structure. The agrarian crisis at the end of the 19th century bankrupted the Mallorcan nobility. Bankers bought much of the land and sold it on as small allotments. This expanded the intensive cropping formerly limited to agro‐town belts, giving rise to a new “peasantization”. Despite their subordination, Mallorcan peasants had survived and created complex agroecological landscapes endowed with a rich biocultural heritage.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".