Masculinities of the Husbands in the Genealogy of Jesus (Matt. 1:2-16)
Bibliographic record
Abstract
Abstract From a narrative approach, and through the lens of masculinity studies, this article examines a particular group in the genealogy of Jesus: the men associated with a woman in their “begetting”: Judah with Tamar, Salmon with Rahab, Boaz with Ruth, and David with the wife of Uriah. What traits characterize this specific group of biblical men put forth as Jesus’s ancestors? What kind of husbands and fathers are they? What is the effect on readers as they peruse this list of masculine prototypes? These male figures are then compared to Joseph and to Jesus. The Gospel of Matthew does not present the masculinities of Joseph and Jesus in the same way as it portrays those of others in the genealogy. Basically, the genealogy supports and subverts ancient hegemonic constructions of masculinity, by proposing a reversal of the values associated with masculinity.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".