Douglas College Human Anatomy & Physiology I
Bibliographic record
Abstract
Welcome to the Douglas College Anatomy & Physiology I open textbook!\n\n This textbook is a project under development by our Biology faculty to ultimately provide students with all the factual information they need to succeed in the BIOL 1103 and BIOL 1109 courses at Douglas College in BC, Canada. The text focuses on directly addressing the Course Objectives defined for the 2 courses covering the most important concepts and aiming to minimize distracting students with more minor details.\n\n The development choices for this textbook were made with the guidance of hundreds of faculty who are deeply involved in teaching this course. These choices led to innovations in art, terminology, career orientation, practical applications, and multimedia-based learning, all with a goal of increasing relevance to students. We strove to make the discipline meaningful and memorable to students, so that they can draw from it a working knowledge that will enrich their future studies.\n\n Readers should be aware that the information herein is subject to change at any time as corrections, additions, or other important modifications are made. Only the most recent version will be considered to be complete and correct. \n The material herein is drawn largely from the OpenStax Anatomy & Physiology textbook, also freely and perpetually available online at http://cnx.org/content/col11496/latest/. Chapter and section numbers have been left as they were in the version of the OpenStax A&P textbook from which they are drawn; some sections have been removed, and others have had some material added, to correspond with the curriculum used at Douglas College.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.411 | 0.306 |
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 source (direct Gemma or distilled Codex), 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".