The Journey of My Ancestors that Led to Me
Notice bibliographique
Résumé
Coming from an understanding of little to nothing about my ancient ancestors, yet alone my closer relatives, the study of Genealogy intrigued me. Through getting a closer look at my relatives, I was able to find my family lineage and got a glimpse of what my relatives experienced during their lives. For most of my life, I have been out of touch with my family history and the lives of my relatives. Unfortunately, all of my grandparents passed away except my dad’s mother and I am very distant from any of my cousins. The cousins that I have met currently live in Canada and they are all on my mom’s side. With this said, maternally the information I received came predominantly from my mother who has also little knowledge of our family ancestry. Before this point, I only knew that my mom’s dad left China as a child and moved to Trinidad where he had seven children with my grandma. I knew that my mother was born in Trinidad and moved to Canada when she was a child. Lastly, I knew that my mom later moved to the United States and now practices medicine. I had no clue why my mom’s side of the family moved so much or the struggles that my relatives faced. When I looked online for documentation that could trace back to my relatives, I could not find a thing. It was specifically difficult because my mother’s family was predominantly either living in China or resided in Trinidad making it difficult to find any sort of documentation. However, finding information on my maternal side of the family, my mother and aunt were able to help me find pictures and tell stories of their parents. For my paternal side of the family, I mostly talked to my grandma who is my only living grandparent who was able to provide many images and documents from my relatives. Another resource that I utilized was results from a genetic testing center called 23andMe. From this, I found out that I am 51.2% East Asian & Native American, 45% European, 2.5% Western Asian & North African, and 1.3% unassigned. My maternal line stems from the haplogroup F2 that can be traced back to a woman who lived approximately 18,500 years ago. The branch F stems from a woman that lived in southeastern Asia. My paternal haplogroup is R-M405 can be traced back to a man who lived approximately 10,000 years ago (23andMe)
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 | 0,000 | 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 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 ».