Bibliographic record
Abstract
Abstract The choice of the editors of the Common English Bible (CEB) to translate Greek, Aramaic and English phrases as either “The Human One” or “the human being” has been controversial. However, it renders the “literal” meaning of a stock idiom that was in use both in the Aramaic of Jesus’ day and in the Hebrew and Aramaic language in the OT. For those who are not taught the literal meaning of the idiom, the traditional literalistic word-for-word translation of ὁ υἱὸς τοῦ ἀνθρώπου as “the Son of Man” is either meaningless or misleading both in terms of Christology and for following the narrative of the Gospels. An accurate translation of the sense of the Aramaic and Hebrew idiom was virtually a necessary choice for semantic accuracy, and reflects the CEB’s purpose and translation theory. It is also a missional choice to render the Word of God in a way that is understood in the target audience’s language. However, the majority of the public that purchases Bibles has religious and theological commitments and tends to expect or even demand specific theological vocabulary and technical terms that are part of a specialized religious register, even though it is misunderstood. Therefore, the CEB engages in “norm-breaking” by attempting to choose vocabulary from registers that are currently in use in the English language in comparable contexts as those that are represented in the source text.
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 | 0.017 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.011 | 0.005 |
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".