Bibliographic record
Abstract
Stefan Brink’s volume is a magisterial interdisciplinary collection of all available evidence on slavery and degrees of unfreedom in Viking Age Scandinavia, including literature, legal texts, archaeological findings (including recent DNA analyses), runic transcriptions, etymology of place names, personal names, and terminology for varying degrees of unfreedom. However, the archaeological evidence is scant and open to interpretation; the written evidence is substantial enough, but often post-dates the Viking Age or the abolition of slavery; meanings of words change over time and an etymology does not necessarily reflect a word’s contemporary usage; all of which makes it difficult, even with such an extensive evidence base, to determine the nature of slavery in the Viking Age. Brink’s conclusions are, by necessity, cautious, which is largely due to the difficulty of interpreting what evidence can be unearthed. Several points are abundantly clear, however: the term ‘thraldom’ is deliberately chosen to emphasise that we are not dealing with institutional slavery as in the modern or Roman world. Thralls were not a homogeneous group. ‘Unfree’ included a wide range of statuses from chattel slave to important blacksmiths or estate managers who raised runestones, and it is impossible to determine the differences in the level of freedom enjoyed between unfree and free tenant farmers.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 0.004 |
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".