Prophetic Literary Ethics in the Book of Poetry When Grass Meets God by Ahmadun Yosi Herfanda
Bibliographic record
Abstract
Ahmadun Yosi Herfanda is a widely recognized Sufistic-religious poet, known for his poetry book When Grass Meets God. The book is divided into two parts: The First Kiss for God and the influential Prayer of Grass. This compilation showcases the significance of prophetic literary ethics in Herfanda's creations. This study aims to uncover the prophetic literary ethics within When Grass Meets God, employing a semiotic approach guided by Paul Recoeur's hermeneutics. The research primarily relies on the poems within the book as data sources. To identify instances of prophetic literary ethics, the study analyzes words, phrases, and sentences that exemplify these principles. The analytical method employed is hermeneutic reading. The book reveals three distinct forms of prophetic literary ethics. Firstly, the poems embody an epistemology of transcendental structuralism, presenting the ethical principles of prophetic literature. Secondly, poems serve as a means of worship, embodying the ethical principles of prophetic literature. Lastly, they establish inter-conscious relationships, further reflecting these ethical principles.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".