Climate Changes and Human Rights: Initiating and Advancing International Management Research
Bibliographic record
Abstract
This panel symposium aims to initiate and advance dialogues and collaboration on the impact of managerial responses to climate change on human rights as a new interdisciplinary research area in management. The primary purpose of the panel symposium is to discuss how theories and methodologies in international management, business ethics, and sustainability can advance research on climate changes and human rights issues in multinational enterprises (MNEs) and studies in a cross-country setting. The panel symposium also aims to find critical future research questions in climate change and human right issues that provide both challenges and opportunities to MNEs and how scholars can help to achieve better social outcomes and business environments. The symposium will be a platform for management scholars in different disciplines sharing their knowledge to explore new research questions in the topic as well as agonizing together over solutions for the challenges we face.
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 | 0.078 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.012 | 0.018 |
| Scholarly communication | 0.034 | 0.043 |
| Open science | 0.003 | 0.021 |
| Research integrity | 0.021 | 0.020 |
| Insufficient payload (model declined to judge) | 0.015 | 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".