Implementing and Assessing the Efficacy of Open Access Hyperlibrary Textbook Resource
Bibliographic record
Abstract
The ChemWiki is the primary and most developed component in the University of California, Davis Hyperlibrary project with six other pseudo-independently operating and interconnected “STEMWikis” that focus on developing and disseminating viable online post-secondary textbook alternatives within a central integrated environment. The Hyperlibrary is a “crowd-sourced” project that is developed by a consortium of students and faculty across multiple campuses and countries. Development entails collecting, integrating, vetting, and building open-access content within a unified and hyperlinked infrastructure. Preliminary results of a data-driven quantitative three-quarter pilot to test the efficacy of the ChemWiki are positive. The effectiveness of the ChemWiki was assessed during the spring quarter of 2014 in the third quarter general chemistry course at UCD. The experimental class (n = 478) used the ChemWiki as its primary resource, while the control class (n = 448) used the standard textbook for the general chemistry sequence. Both classes were taught back-to-back by the same instructor (Larsen) with the same set of teaching assistants and assessment protocols. Both classes used the same exams designed to measure the overall learning gain of the students in both classes, which were also confirmed with pre/post exam comparisons. The results showed that the normalized learning gains for both classes were not statistically different when accounting for student demographics. The Colorado Learning Attitudes about Science Survey (CLASS) chemistry survey was employed at the beginning and end of the quarter to determine if either class's beliefs about chemistry changed based on the primary resource they used.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| 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".