Immigration, cancer racism addiction mental illness, divorce, endometriosis, adenomyosis- Miranda Oh
Bibliographic record
Abstract
I married the man of my dreams when I was just 20 years old. He was an immigrant from Africa, it took us 4 yrs. of long-distance relationship & tough & complicated immigration battle. We encountered racism, corruption, & the obvious difficulties of a long-distance relationship. Once we finally got him approved, he moved to Canada; we thought, yay...Happily ever after right? Wrong! A few months later there was a cancer diagnosis, followed by a whole slew of other ailments like addiction, mental illness & family issues to name a few. Then within a blink of an eye, he was gone. Attempting to pick up my life after all of that, sharing my story came as a way to heal & help process all that happened before my 23rd birthday. Once I started writing I quickly realized that the series Chin Up Tits Out was a way to strip down different life scenarios, & really talk about the feelings that rush through us in tough times. The little mantra became a daily tool to maintain balance when I needed it. If I stand confidently, I, therefore, will feel more confident; with time and dedication to that action. As book 3 was being created, my 30th birthday threw me another doozy and slapped me with an Endometriosis & Adenomyosis diagnosis. So naturally, I'm using that as juice for my second series. We know life is going to get messy, & that we will be faced with tough challenges along the way. I made a choice when I started to share my story that I wanted to relate, connect and inspire people. We all go through tough stuff, it's all how we receive it, juggle it & move forward through it. www.mirandaoh.com Facebook: Miranda Oh - Chin Up Tits Out IG & Twitter: Ohmirandaoh --- Send in a voice message: https://anchor.fm/the-naked-podcaster/message
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 | 0.001 | 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) | 0.313 | 0.003 |
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; both teacher heads agree on what is shown here.
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".