The Construction of HISCAM: A Stratification Scale Based on Social Interactions for Historical Comparative Research
Why this work is in the frame
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Bibliographic record
Abstract
A new occupational stratification scale, "HISCAM" (historical CAMSIS), has been developed to facilitate the analysis of data coded to the Historical International Standard Classification of Occupations. This article describes the derivation and properties of the HISCAM measure. The scale was derived using patterns of inter-generational occupational connections, replicating a method of "social interaction distance" analysis which is widely used in contemporary sociology. Analysis was performed on data for the period of 1800-1938, principally derived from marriage registers covering Belgium, Britain, Canada, France, Germany, the Netherlands, and Sweden, and encompassing over two million inter-generational relationships. Researchers report how several different HISCAM scales were evaluated and show how this approach can explain social stratification and inequality in the past.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| 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 it