Anorexic and Bulimic Sober Speakers
Bibliographic record
Abstract
On April 9tth, 2012, Amy, Anorexic, Alberta, Canada, spoke on the ABA Monday Night Phone Mtg. She shared on her process of getting sober. She spoke about what she was like before, what happen & what she is like now. The Anorexics and Bulimics Anonymous Monday Phone Mtg can now record during the Phone meeting. They will be digitally/recording, editing and placing on the Internet, speakers from the Phone Mtg. The recovering, sober, guest speakers will be sharing their own ABA experience strength & hope. ABA is a 12-step recovery fellowship model after Alcoholics Anonymous, and was founded in Alberta, Canada. ABA has been making its way to other parts of Canada as well as major cities in the U.S., Europe, Australia, Israel, and New Zealand and its still growing. ALL people with a desire to stop unhealthy eating practices are welcome, whether that practice be anorexia, bulimia, binge eating, over eating, or any other unhealthy eating practice! In hopes of carrying the message of recovery in a broader spectrum to those of who suffer as well as to those who are limited to access of ABA meetings, the ABA Phone Meeting home group are commencing to record sober guest speakers once per month. For the sake of preserving the meetings anonymity, the only portion of the phone meeting to be recorded is that of the guest speakers sharing. They will be speaking from their own experience, which is all anyone of us can do. It is our hope that these audio files will be found to be a useful addition to your recovery journey. The recorded speakers are NOT endorsed by or representing the Monday Night Phone Meeting nor are they endorsed by or representing ABA as a whole. The opinions expressed are sole of the person who shared them. Enjoy. Hear the hope. Listen to the miracles. Wishing you a nice sober day. Anorexics and Bulimics Phone Fellowship.... .....be a part of dial in ABA Phone Fellowship Blog Home Page
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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) | 0.684 | 0.040 |
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".