Bibliographic record
Abstract
This Master’s report is dedicated to my daughters, Mallory & Brook Hendrix. They have supported me throughout my educational adventure. I am a better woman, a better mother, a better friend, and a better teacher because of them. Acknowledgements Dr. Mary Walker Thank you for allowing me to participate in the UTeach Masters Program. You have supported and nurtured me throughout my educational journey. Thank you for showing me how science and education can be challenging, enjoyable, and exciting all at the same moment. You have enriched my classroom and my life. Dr. Ruth Buskirk Thank you for taking time to share with me your knowledge, your expertise, and your friendship. I would not have finished without you. Thank you for believing that your students can accomplish great things. I am a better teacher because of you. Dr. Daniel Bolnick Thank you for exposing me to the true meaning of “real world science”. You challenged me to become a better scientist. Thank you for allowing me to be a part of your Vancouver Island adventure. It is an experience I will never forget.
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".