Levnadsstandarden speglad i bouppteckningar : En undersökning av två metoder att använda svenska bouppteckningar för en levnadsstandardsundersökning samt en internationell jämförelse
Bibliographic record
Abstract
The standard of living in the pre-industrial world is an interesting but challenging subject. No single method alone can solve the problem. In order to grasp the standard of living several methods must be used, and work must be done across discipline borderlines. In this paper I discuss methods for using post mortal inventories (estate inventories) in order to indicate the material standard of living in Sweden. Similar methods have been used in France, Great Britain and North America. To adapt these methods to Swedish conditions have been the main focus of the paper. The first method tested here uses the valuation of all objects stated in the post mortal inventory (not including houses and farms). This method had previously been tested on English and North American inventories. All values in the Swedish material have been converted to British pounds in order to facilitate comparisons. The second method tested uses the objects in the estate inventory to create an index of the material standard of living. This index was first used in France and later in Canada. Some preliminary results in this work indicate that Swedish farmers by 1750 were well below English and French farmers in material standard of living. However, during the fifty years that followed a noticeable change took place.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.020 | 0.001 |
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; both teacher heads agree on what is shown here.
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".