Branding the Earth: Selling Earth system science in the United States, 1983-1988
Bibliographic record
Abstract
As part of its efforts to find new relevance in the early 1980s, NASA formed the Earth System Sciences Committee (ESSC) to develop a large-scale Earth science research program that would use satellites and computer modeling to study the planet as an integrated system with interconnections between the land, air, water, and biota. Called Earth system science (ESS), the project was conceived on the scale of the U.S. moon missions. Like the Apollo program, it would need enormous government funding to implement. Yet, the project was proposed just as government science funding was contracting. Conscious of the changing political economy of science, the ESSC attempted to build scientific, political, and public support for its project by using promotional techniques akin to the branding efforts more commonly identified in corporate marketing that were themselves changing in scope and importance in the 1980s. These techniques formed part of the ESSC's broader management strategy to promote ESS. The ESS brand was developed around the ideals of an interconnected 'Earth system', the significance of interdisciplinary research, and environmental concern. Though ESS failed to gain widespread traction, an unintended consequence of this branding was the communication and entrenchment of the concept of the 'Earth system'. Today, this concept provides crucial theoretical scaffolding that unifies interdisciplinary Earth science research, including climate change science.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Science and technology studies Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | low |
| gpt | Science and technology studies Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | high |
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".