Bibliographic record
Abstract
Redeemer University is a Canadian Christian university located in Ancaster, Ontario. Founded in 1983 in the Reformed Christian tradition, Redeemer’s mission is to prepare students to join Christ in his redemptive work through their careers and callings, while also fostering faculty research and scholarship in every discipline from a Christian perspective. Over the past forty years, Redeemer has evolved from a small college with limited degree granting authority to a full university offering a variety of programs including a B.A., B.Sc., B.Ed., B.B.A., B.Kin., and B. Comms. Redeemer currently faces challenges stemming from a post-Christian Canadian culture and the impact it has had on widespread individual belief in the psychological self as the ultimate source for personal identity and understanding. The changing higher education marketplace also contains a proliferation of degree granting institutions, and students are increasingly seeking clear and direct pathways to careers, making institutions like Redeemer with traditional degree nomenclature to appear less relevant and desirable. However, some of these challenges also present opportunities. Post-Christian culture also means that more Christians desire a unique, faith-based higher education institution, as it becomes more difficult to express faith in public spaces.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.034 | 0.018 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.031 | 0.004 |
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".