Confrontation to Humiliation Complex Causing the Violence, Crime, Uncivilized, Non-Citizenship and Extremism by Positive Education and Cognitions
Notice bibliographique
Résumé
The individual is the initial unit of society. So, building positive society begins within positive characters of its individuals. The education of the individual must be from a childhood in a positive way, and learn to define goals clearly (presence of clear life goals) and know the meaning in life (Presence and Search for Meaning in Life) and the creation of a purpose in life. This develops a positive, conscious and social personality in the individual who forms society and the world. The absence of positivity, purpose in life and/or meaning in life in individual plays a role in the creation of sadism, negative-sadomasochism personality disorder, barbarism, crime, brutality and extremism among Man who seeks behind the creation of war and destruction and savoring the pains of girls, young people, women and children as Syrian War. Man is not extremist, oblique and criminal by the innate. But, family, parents and their psychological aspect, friends, schools, universities, environmental and media make this oblique and criminal Man. In addition, education of the Civilized Man in life is made to develop his Negative Thought instead of develop his Positive Thought. The result is quite catastrophic. People are most of the time unable to live intensely a happy moment so much they are inhibited from all that is positive. So, Man becomes oblique and criminal by his environment. Crime, uncivilized and extremism have an impact on local communities all over the world. Environmental and their risk factors such as economic difficulties, no activity and no job, negative emotions (disillusioned, resentment, emptiness, boredom, loneliness, or feeling lost and abandoned, no clear purpose in life and no life’s meaning, etc.), absence of coping skills to withstand life stressors, psychological and cognitive development, and ability to make prudent decisions lead acceptance of violent extremist ideologies as crime, uncivilized, violence and extremism. Good citizenship, crime, uncivilized, extremism and violence extremism are the important social issues that might be affected by patterns of thinking (positive or negative) in individuals, institutions, and communities. Positive thinking is as a way for developing good citizenship behavior and confronts the crime, uncivilized, abuse and extremism. Positive thinking about oneself would lead to positive thinking about society; hence develop the link between individuals and their environmental and society by using the positive thinking. So, the RPPT (Repetitions Phrases of Positive Thoughts) can be an effective tool for promoting positive thinking and so building positive identity and positive expectation. Therefore, practicing RPPT, as an educational tool for positive thinking, reinforces positive thoughts which lead the citizenship for better future and a better community. TRPPT (Treatment of Repeating Phrases of Positive Thoughts) contributes in building personal resilience and positive sense of identity that are essential components to prevent violent extremism.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,004 | 0,004 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,000 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,016 | 0,003 |
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 ».