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Record W2739941887 · doi:10.20361/g2d38f

NASA Climate Time Machine by M. Boeck

2017· article· en· W2739941887 on OpenAlex
Shane Allan

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Deakin Review of Children s Literature · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicScience and Climate Studies
Canadian institutionsnot available
Fundersnot available
KeywordsClimate changeContext (archaeology)Global warmingClimatologyMiamiAgency (philosophy)Sea iceMeteorologyGeographyOceanographyEnvironmental scienceGeologyArchaeologySociology

Abstract

fetched live from OpenAlex

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.503
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.004
GPT teacher head0.252
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it