Forest Stewardship: Deforestation Analyzed Islamecocritically in Canadian Ecopoetry
Bibliographic record
Abstract
Deforestation is one of the current global hot issues. It has a complicated web of causes and effects. Besides, it requires intricate long-term solutions because many countries are involved. The present study presents an Islamecocritical reading of deforestation causes, effects, and solutions. The literary discussion is combined with religion and science through analyzing selected Canadian poems in reference to Islamic doctrines and scientific facts. The concept of forest stewardship is highlighted as a worldwide demand for handling this issue. Forest stewardship is definitely tied to other fundamental Islamecocritical principles like moderation; corruption prohibition; harm prevention; innateness; animism; the unity principle; heavenly balance; and divine judgment. These ethical pillars are supposed to guarantee the wished-for harmonious responsible relationship between humans and forests. [Deforestasi merupakan salah satu isu penting global saat ini. Hal ini seperti jaring kompleksitas dari sebab dan akibat. Disamping itu, persoalan ini membutuhkan solusi jangka panjang karena melibatkan banyak negara. Artikel ini membahas pembacaan ekokritisme Islam pada sebab, akibat dan solusi dari deforestasi. Literasi diskusi adalah kombinasi agama dan sains melalui analisa puisi dari Kanada yang terkait dengan doktrin Islam dan fakta sains. Konsep pelestarian hutan menjadi sorotan yang lebih luas dalam mengatasi persoalan ini. Pelestarian hutan menjadi pengikat pasti dari prinsip dasar ekokritis Islam seperti: pencegahan korupsi, anti kekerasan, pembawaan, animisme, kesatuan, keseimbangan, dan keadilan Tuhan. Pilar pilar etik inilah yang kira-kira menjamin hubungan harmonis antara manusia dan hutan.]
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.014 | 0.012 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".