Bibliographic record
Abstract
Ⅰ. 序論 1. 硏究의 必要性 2. 硏究目的 3. 硏究方法 Ⅱ. 인터넷 健康情報서비스의 理論的 背景 1. 인터넷 健康情報서비스의 意義 2. 인터넷 健康情報의 利用實態 및 質 管理: 旣存硏究 檢討 3. 健康情報 메타데이터의 活用 4. 웹 시스템의 品質保證 方法 Ⅲ. 主要 國家의 인터넷 健康情報서비스 動向 分析 1. 英國: NHS Direct Online 2. 美國: HealthFinder 3. 캐나다: Canadian Health Network 4. 濠洲: HealthInsite 5. 要約 Ⅳ. 主要 情報技術 動向 分析 1. 인터넷 情報檢索 方法 2. 시맨틱 웹 技術 3. 웹 서비스 技術 Ⅴ. 인터넷 健康情報서비스 利用實態 및 需要 分析 1. 調査槪要 2. 인터넷 健康情報 利用實態 分析 3. 健康情報 需要 分析 4. 要約 및 示唆點 Ⅵ. 인터넷 健康情報 게이트웨이시스템 基本計劃 1. 戰略計劃 2. 인터넷 健康情報 質 管理體系 3. 情報化 戰略計劃 (情報아키텍쳐 包含) Ⅶ. 인터넷 健康情報 게이트웨이시스템 開發 1. 2003年度 시스템 開發 2. 건강정보광장의 構成 및 機能 3. 건강정보광장의 設置 및 運營 Ⅷ. 結論 및 政策的 提言 1. 結論 2. 政策的 提言 3. 限界點 및 追加硏究 參 考 文 獻 附 錄
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 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) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.019 |
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; both teacher heads agree on what is shown here.
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".