US President Joe Biden’s Administration: A New U.S. Climate Change Agenda (U.S. CCA)
Bibliographic record
Abstract
The climate change issue is a key principle for Mr Joe Biden’s administration. In this paper, author conducts a Qualitative Content-Analysis (QCA) method of the elements affecting Joe Biden’s administration about the new U.S climate change agenda (U.S. CCA). Thus, the question in this research is that why climate change is one of the important issues in the Biden administration? Based on this method and data analysis the publications were identified and divided to answer the basic question of this article. I differentiated between national and international levels. Hence, paper proposes two reasons, the Economic-based approach and the Individual approach at the national level, to abovementioned research question. In addition, two specific approaches are identified at the International level: global leadership on climate change, global cooperation on the climate change. The policy implications would seem to be that national elements by Economic-based approach and the Individual approach are critical in influencing Biden's new climate agenda.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".