Journeying Together: Synodality and the Path Toward Social Salvation
Bibliographic record
Abstract
The unfolding process of the Sixteenth Ordinary General Assembly of the Synod of Bishops, or the Synod on Synodality (2021)(2022)(2023)(2024), offers an unprecedented opportunity for theologians to rethink their engagement in the church and society.Aware that several CTSA members participated in the Roman meetings of the Synod in 2023, this special invited session convened two of the synod participants (Maria Cimperman and Agbonkhianmeghe E. Orobator) to share insights with peers in the Society.Our session also benefited from the presence of Catherine Clifford (St.Paul University, Ottawa) who briefly shared her experiences at the synod and invited society members to her paper later in the conference, presented in the Synodality Interest Group.C. Vanesa White graciously read a brief paper from Cimperman, who was in Rome for the drafting of the synod's Instrumentum Laboris.Her paper illuminated some lessons from the first session of the synod and focused on participation and coresponsibility as the most important fruits of the synod so far.Orobator's presentation addressed some of the pitfalls and opportunities of this "experiment in ecclesiology.""How," he asked, "do we actually journey together as a reconciled community?"Following the two presentations, the participants split into six small groups.Dr. Ahern introduced the conversations in the spirit method and facilitated three rounds of listening on the following questions:
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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 | 0.010 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.032 | 0.066 |
| Scholarly communication | 0.014 | 0.021 |
| Open science | 0.002 | 0.035 |
| Research integrity | 0.003 | 0.010 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".