I Lost my Son to Bullying: A Mother's Voice Speak Out
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
It is my pleasure to talk with you this morning about my son Hamed. He was a good boy who was bullied so much that he did not know what to do and so chose to take his own life on March 11, 2000. I cried very hard when I found out. In fact I screamed and called him to come to me and give me a big hug because I could not believe he was gone. I miss him so much. I lost Hamed because he was tortured and tormented by his schoolmates. I felt helpless, confused, sad, lost, and frustrated for a long time. I still do. My heart is broken forever but I decided to talk to you today hoping that perhaps by talking about Hamed and what happened to him it might help other mothers and other children who are suffering. I read to you a talk I gave to students and teachers at a Youth Forum called Diversity and Respect held Sunday, March 21, 2000. That day was called Hamed Nastoh's Anti-Bullying Day.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 it