Bibliographic record
Abstract
This dissertation argues that the narrative of Qoheleth’s address progresses to a conclusion in 11:7-12:7, in which Qoheleth brings together the primary motifs of hebel, joy, and the fear of God, makes clear their interrelation, and conveys his central message. And while hebel describes the findings of his failed quest and becomes the context from which he instructs and commends joy, Qoheleth ultimately upholds an orthodox position as he presents the fear of God as the foundation for wisdom. Taking a canonical approach, this dissertation considers three levels of context for Qoheleth’ address: first, in a hermeneutically significant narrative frame; second, in connection with Proverbs and the tradition it represents, one with a covenantal foundation; and third, in a complementary relationship with the rest of the OT. This is followed by an analysis of the narrative quality of Qoheleth’s address, with particular attention to its progression from quest to instruction, and a look at the role of the primary motifs within this arc. Lastly, Qoheleth’s concluding section is examined to reveal his conclusion, one subsequently affirmed and echoed by the narrator in the epilogue. Qoheleth is no skeptic, pessimist, or hedonist, nor does he represent a crisis of wisdom or faith. Rather, Qoheleth stands in the canon as a faithful witness offering wise counsel for life with all of its difficulties and mysteries and upholding the fear of the Lord.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.018 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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; 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".