The Journey of My Ancestors that Led to Me
Bibliographic record
Abstract
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)
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".