Healing the Earth. November 3, 2024. Chorealis
Bibliographic record
Abstract
Healing the Earth November 2, 2024 Chorealis Welcome & Announcement Hymn #163 For the Earth Forever Turning by Kim Oler Kindling the Chalice - All Animal Chalice by Mark Causey Responsive Reading - The Womb of Stars by Joy Atkinson Reading - Reading - At Arm's Length by Karen G. Johnston Hymn - Cherish The Earth Chorealis Sharing Our Abundance – Edmonton Food Bank From You I Receive Hymn 1068 Rising Green Candles of Care & Connection - We Shall Sing by Laurence Cole Chorealis Message - The Butterfly Effect Meditation • In Word - Earth Day Prayer by Laura Horton-Ludwig • In Silence • In Music - Deep In My Soul by Gordon Ritchie Chorealis Video - The Return of Earth/She by Christopher Sims Hymn - Call Us Again by Rev Audrey Brooks and Gordon Ritchie Closing Words - Charge from the Earth by Irene Glasse, Rebekah Savage Postlude - Be Well by Gordon Ritchie Chorealis Extinguishing the Chalice - Blessed by Our Connections by Susan Karlson Carry the Flame
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.817 | 0.635 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".