Bibliographic record
Abstract
行動のあり方と、外からは観察不可能な行動(考え方など)のあり方の両方が 持つ強い傾向なり規則性を言う。また、その人々の生き方は個々の人が生まれ た時には既に待ち受けているものであり、人々は成長の過程でそれを身に付け ていく。すなわち人は周囲の者たちと同じ傾向を持った生き方をする成人へと なっていくわけである。しかし、それでも個々の人の生き方は千差万別である とも言える。ある者はその土地の人々から見たら共通した生き方の中心部で生 活し、ある者は多くの人々とはやや異なった生き方を周辺部でしているからで ある。しかし、いずれの地点に生きようとも、人々の生き方は、その保守性が ゆえに、またはその変革志向の強さのゆえに、また他の生き方をする人々との 接触がゆえに、または個人的な欲求がゆえに、
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.013 |
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".