Bibliographic record
Abstract
In an era when information is paramount, ensuring equitable access to knowledge remains a critical challenge as information divides persist and even widen across many regions of the world. As a librarian in a theological library and of Korean descent, I recognise the profound importance of theological resources and their transformative power. Historical evidence shows that theology books and the Bible significantly influenced the history of Christianity in Korea even before the arrival of missionaries. Given the remarkable impact of these resources, it is essential to establish connections between surplus theological books in the UK and the libraries of rapidly growing theological training centres and educational institutions in the majority world, which are in desperate need of such materials. To address this need, the Oxford Theology Resources Link was founded in late 2023 to deliver surplus theological books from the West to the Global South. This article explores the rationale behind it and outlines the initiative’s foundational principles: providing high-quality academic resources, empowering recipients to choose their own books, and offering ongoing support for the sustainability of the receiving libraries.
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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 | 0.013 | 0.046 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.006 | 0.024 |
| Scholarly communication | 0.021 | 0.022 |
| Open science | 0.004 | 0.014 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.046 | 0.025 |
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".