Bibliographic record
Abstract
In 1997, the National Science Foundation (USA) started a project called Human Dimensions of the Arctic System, given the acronym HARC. This initiative was part of the Arctic System Science Program, intended to promote understanding of the processes and feedbacks that involve and shape the physical, biological, and social components of the Arctic. HARC, in turn, was designed to boost research involving those social components, examining ways in which humans affect and are affected by the Arctic system. In a meeting of HARC investigators in 2002, several people suggested compiling a journal issue dedicated to Arctic human dimensions research. This issue [Arctic, v. 57, no. 4] is the result. I am grateful to the authors of the papers for making that idea a reality. On their behalf and mine, I thank the National Science Foundation for funding this issue and the Arctic Research Consortium of the United States for administrative and intellectual support. Arctic human dimensions research neither began nor developed in isolation. Various national and international efforts, such as the International Human Dimensions Program (IHDP), have sponsored, encouraged, and developed a community of researchers for the field. Nonetheless, HARC stands out in three ways: it has a clear geographic focus; it has a strong link to physical and biological research in the same region and program; and researchers have had considerable latitude in determining appropriate subjects and methods for their studies. This collection of papers reflects that diversity, constituting a rough and partial summary of HARC's achievements, plus one paper ... that was not part of HARC but addresses a relevant topic. ... three main conclusions can be drawn. First, the human dimensions of the Arctic system are extensive, complex, and diverse. Second, the study of human dimensions is similarly diverse, innovative, and compelling. Third, the field has matured to the stage that the next major challenge lies in synthesizing the results of many individual studies so that we can discern patterns and paradigms that will further illuminate the various case studies already conducted. If we can maintain the momentum generated by the work to date, the study of human dimensions in the Arctic has a bright future.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".