Bibliographic record
Abstract
Boeck, Moore et al. “NASA Climate Time Machine”, animated by Goddard Scientific Visualization Studio, Moore Boeck and CReSIS. NASA's Global Climate Change website, https://climate.nasa.gov/interactives/climate-time-machine.The NASA Climate Time Machine site is part of that agency’s Global Climate Change initiative and is designed to provide users with a visual guide to the changes the planet has undergone in recent history to further education about climate change, as well as the potential effects of such change on the world.The site proper is divided up into four sections; Sea Ice, which shows the reduction of polar ice from 1979 through to 2015; Sea Levels, examining the consequences of melting sea ice and the consequent raising of sea levels on the United States’ states which border the Gulf of Mexico; Carbon Dioxide, which displays global CO² levels from the start of the millennium to 2015; and finally Global Temperature, which tracks the changes in the world’s temperature since 1884.The Climate Time Machine is a good way for children to visualize some of what they’ve learned in class in a dramatic fashion. This is particularly evident in the case of the sea level section as it shows both the cities of Miami and New Orleans disappearing underwater. All of the pages provide some level of interaction in the form of sliders which advance the changes on a large map. There is also some explanatory text on each page to provide context for what is being displayed. This is perhaps the weakest aspect of the site as there is not much to read and what is there is not really designed for younger readers. Ideally this would be used as part of a wider discussion in class or with a more learned adult, such as a parent, if only to give a better idea of what the child is seeing. Overall though, the simplicity of the site is a benefit and comes from a very authoritative source. Suggested age group: 12+. Highly Recommended: 3 out of 4 starsReviewer: Shane AllanShane is an MLIS student at the University of Alberta and is currently employed as a cataloger, reorganizing a collection of curriculum materials. His favourite children's book is the Transall Saga by Gary Paulsen for its mix of adventure, fantasy and science fiction. It shows the value and importance of communication, companionship, and determination in the face of tremendous odds.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.513 | 0.375 |
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".