Waqf Land in the West Bank and Investment Current State of Affairs
Notice bibliographique
Résumé
This study has sought to find out the total area of waqf land in the West Bank, in terms of its types, and the efficiency of its investment. To these two ends, the researcher has tackled three major tracks: total area of waqf land in the West Bank; reality of its exploitation in the West Bank governorates; and efficiency of its investment. During his investigation, the researcher faced tremendous difficulties. On the theoretical side, and since the advent of the Palestinian National Authority, there has been a dearth of literature on these three tracks and on the investment of waqf land in the West Bank in particular. On the practical side, there was not a database available on this waqf land with the directorates of waqf. The researcher only managed to access some statistical publications and paper records. Therefore, he found himself compelled to process more than 2,800 files archived by the directorates of the waqf. He also conducted a number of personal interviews to identify the type of land and extent of its validity or suitability for investment. After collection of this data, he computed it and made an analysis of results according to type, geographical location, percentage of its occupancy using the analytical descriptive method. After data analysis, it was found that the West Bank was home to a treasure of waqf land but unfortunately it was not exploited well. The waqf land was found to be of two types. The first one is appropriate for all kinds of investment and it includes plain lands (92%), planted lands (4.1%) and land invested for real estate (1.2%). The second one is land that has been allocated for public benefit. This includes cemeteries, mosques and holy shrines (maqams). This type represents 2.7%. The results also showed that the percentage of plain land leased was very low. It did not exceed 1.6% of the total area of plain land in the West Bank. In contrast, the planted land amounted to more than 50%. This was due to the fact that the lease was used to being concluded seasonally. Undoubtedly, this poor exploitation of land has had negative effects on the revenues of waqf property and on the extent of its contribution to the Palestinian gross national product and maintenance of food security. The religious and historical shrines in the West Bank were found to be in very poor physical conditions, thus making the premises unsuitable for use. This poor physical condition of the shrines shows how much they have been neglected over the years. In the light of these findings, the study concluded with a number of recommendations, which, if taken seriously, could advance the waqf land sector. There is a necessity to make active use of unused waqf land and invest it anew in vital fields.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,004 |
| Études des sciences et des technologies | 0,002 | 0,003 |
| Communication savante | 0,004 | 0,002 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,011 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».