Bibliographic record
Abstract
PHASES The history of the Stoic school is conventionally divided into three phases: Early Stoicism: from Zeno's foundation of the school, c. 300, to the late second century b.c. : the period which includes the headship of the greatest Stoic of them all, Chrysippus Middle Stoicism: the era of Panaetius and Posidonius Roman Stoicism: the Roman Imperial period, dominated by Seneca, Epictetus, and Marcus Aurelius Although the Stoic tradition’s continuity is at least as important as any resolution into distinct phases, the traditional divisions do reflect key changes which no school history can afford to ignore. The following account will, in fact, assume a rough division into five phases, despite acknowledgment of extensive overlaps between them: the first generation the era of the early Athenian scholarchs the Platonising phase (‘Middle Stoicism’) the first century b.c. decentralisation the Imperial phase The primary ground for separating these is that each represents, to some extent, a different perspective on what it is to be a Stoic – that is, on what allegiances and commitments are entailed by the chosen label.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".