Memahami Kristologi Menurut Kolose 1:28 Untuk Membina Jemaat Melalui Model Partners in Learning
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The purpose of this journal is to apply the principles of fostering church members through the teaching model of partners in learning where coaches and congregations emphasize the importance of relationships to build trust between the two parties. As was done by the Lord Jesus Himself in His ministry, namely building relationships with the people He served, this partner in learning model also applies the importance of acceptance and appreciation between personal mentors and the congregation. Some of the impacts of the partners in Learning model: (1) Involvement means increasing the partnership between tutors and students, (2) Awareness. This model helps mentors and students to develop metacognitive awareness and a growing identity, (3) Improvement. Learners are more active and responsible for the learning program that is being carried out. Partners in learning change the way of 'telling students about topics they need to know' to facilitating them to get the necessary information (inquiry). Partners in learning will produce students like Paul taught in Col. 1:28 namely growing towards maturity towards Christ.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it