Bibliographic record
Abstract
The conventional security paradigm was challenged and changed, especially after the end of the Cold War. It becomes more specific towards the human security when the UNDP published the Human Development Report in 1994. Thus scope of Human Security specifically focuses on different area which is related to the freedom and dignity of an individual thus it is people centric concept. Due to the globalization after the end of the cold war, the underdeveloped countries like Nepal, got globalized impact on human security. The Human security even more compromised due to the internal armed conflict and various kinds of natural disaster including the massive earthquake in 2015. There are regional organizations such as SAARC which mainly focus on the arms proliferation rather than promoting the Human Security. The 21st century became more dangerous due to terrorism, poverty, internal conflict, manmade and natural calamities which challenge to the Human Security globally. Nepal is ranked at 4th position by UNDP, Nepal to the vulnerability to climate change, and less coping capacity to disaster due to poor economic conditions which also leads to the insecurity in Human beings. Even there are global challenges to Human Security and threat from all direction, there are few efforts were taken by the International Organization for the promotion of the Human Security. Thus, Human Security can be promoted by putting the People in a center with coordinated efforts of state as well as non-governmental organization especially by the United Nations with the name of means of collective security.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.010 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| 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".