Notice bibliographique
Résumé
My Wedding Day Syrena Oswald Canada I heard the whisper of my name as I stood at the edge of the bridge, gathering up all my courage and strength to jump. After hearing my name repeatedly, I finally yelled with my eyes shut, "Leave me alone!" I kept my eyes closed, spread my arms out like Jesus on the cross, and jumped over 120 feet into the cold river water. Once I hit the water, I felt my body surge with a powerful rush, and as I sank to the bottom, I heard a faint voice telling me to rise. As I came up to the surface, I gasped for air and began to feel panicked. Again, this same peaceful voice told me to lie back and remain calm. And as I floated on the river's surface, I felt the vibrant heat of the sun shining down upon me and felt a peace I had never felt before. Within minutes I felt the tug of someone grasping at my arm, and they began pulling me towards the shore. Once we got to the shore, I proceeded to tear off all my clothes and stood at the water's edge naked and in shock. After a few minutes, someone wrapped a blanket around me, and then I began to run up to the vehicles calling out my love's name, pulling at the door handles, wondering why I could not find him. My goal in jumping off the bridge was to show my partner how much I loved him and to show God that I was ready to walk down the aisle and become one with God and my love. I wondered where all my family and friends were? Why weren't they here waiting for me? As this was my wedding day. I was so confused. Little did I know that at that moment, I was at the height of a severe mania and had been hallucinating, delusional, and in a state of profound psychosis. It wasn't too long after I was running around trying to get into vehicles that I was taken into custody by the Royal Canadian Mounted Police and driven to the hospital, where I was admitted into the secure medical unit and later diagnosed with Bipolar 1. Six months prior, I had been diagnosed with panic attacks and depression, which prompted the psychiatrist to prescribe me antidepressants. Unfortunately, antidepressants can induce mania in patients with bipolar disorder, which I was told by the doctors. It is fair to say that had the previous psychiatrist taken more time to investigate my background, he may have been able to determine that I was, in fact, dealing with bipolar disorder, not just anxiety and depression. During my month stay at the secure medical unit, I received some good care from the attending psychiatrist, who is now my full-time doctor, and from the team of nurses. However, one incident that occurred during the first week left me traumatized and created a deep sense of shame and left me unable to speak of it for over a year. During the first few days in the secure medical unit, I was told I slept for days, which seemed reasonable as I had not been sleeping due to the mania. After feeling a little more stable, I recall feeling quite agitated with being isolated from family and friends and wanting desperately to speak with my mother and my best friend. I remember walking out of my room and heading towards the nursing station, where I promptly asked the attending nurses to give me the phone so I could call both my mother and my best friend. The staff refused to do so. I then became incredibly upset and began yelling both my mother's and best friend's phone numbers repeatedly, demanding I be provided a telephone to call them. I was tackled and taken into a small room where I was pinned to the ground and injected with a needle in my butt. Within minutes I was knocked out by the sedative they gave me. When I finally awoke, I was terrified by my surroundings as I was locked...
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 tête enseignante, 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 ».