Identity Formation at the Keffer Iroquoian Village: A Relational Network Approach to Communities of Practice
Bibliographic record
Abstract
This thesis employs settlement pattern studies and social network analysis of ceramics to present a history of the Keffer village and its multiple ceramic practice communities. Keffer is a fifteenth-century Iroquoian site on the north shore of Lake Ontario. Temporally and spatially patterned variability in the diverse local tradition and nonlocal ceramics materialized the fluid, multivalent, and contingent identity of the Keffer potters at the household level. Nonlocal ceramics, particularly locally produced “emergent” ceramics, expressed unique yet shared identities with others within the village. These same analyses produce a nuanced series of development plans that trace the initial settlement, the growth, and the initial steps in the abandonment of the village. Distinct ceramic practices indicate that, contrary to what has been argued in some of the literature, the longhouse clusters that form the initial village occupation may not reflect kin-based social groups. However, longhouses added independently after this first settlement may reflect the arrival of small, related, kin-based groups. Village growth appears to have occurred at the level of the individual household and was likely unplanned. Village abandonment occurred on the same scale, at the individual household level. This study also shows that social network analysis of ceramic types is an appropriate mechanism for the exploration of multiscalar group identity. Analysis at the pan-Iroquoian, regional, and village levels demonstrates Keffer’s central position in the highly connected north shore interaction network and its distant relations with St. Lawrence and Eastern Iroquoian groups. Social relations and the identities they sustained, from the most intimate level of the household to the pan-cultural interaction sphere, can be successfully revealed and explored through the application of combined social network, community of practice, and agency approaches.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".