Bibliographic record
Abstract
Introduction The Islamic juristic categories of ownership and property are grounded in the theological conception that God is the sole and ultimate Owner ( Mālik ) of the universe. Mālik , a name and an attribute of God, is the active participle denoting “one who owns,” while milk , the verbal noun, represents a state in which ownership obtains. God is thus the true Owner of everything, including human beings and all they possess. Strictly speaking, therefore, human beings own nothing. And so it is only by divine generosity that it becomes possible for human beings to claim, and only in a metaphorical ( majāzī ), not a real ( ḥaqīqī ), sense, rights of ownership over parts of the world. This generosity manifested itself as an act of delegation and subsidiary empowerment. Quran 57:7 states: “Believe in Allah and His Messenger, and spend ( anfiqū ) of that with regard to which he made you [his] deputies” ( mustakhlafīna fīhi ). Human ownership, put in legal terms, is empowerment by agency ( wakāla ), and it is constrained by the terms of good conduct expected of humans in dispensing of God's wealth. Good conduct in dispensation is linguistically funneled through the imperative form “spend” which, throughout centuries of legal discourse, consistently refers to spending in the way of care and charity, including on one's family, relatives, and the poor, all of which translate into a duty to care for one's community.
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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 | 0.020 |
| Scholarly communication | 0.007 | 0.011 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.024 | 0.003 |
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".