Bibliographic record
Abstract
The advancement of space technology has sparked excitement from the public about space travel. Revisiting the moon, colonizing mars, and even taking casual trips to the upper atmosphere of Earth have gained traction. While there is a rise in scientific skepticism and overall public mistrust, space tourism is largely accepted as a norm, with little discussion on ethics or sustainability. Awareness of the negative aspects of space travel is well-studied, and change starts from mass mobilization but glorification of space in media prevents such action. Sci-fi movies and books contain a constant theme that the Earth is dying, and outer space is the only option. Repeated exposure to media ultimately normalizes the audience to such concepts. To shift people’s positive attitudes from space travel to sustainability, media can create media that romanticizes Earth as a worthy cause of saving.
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 | 0.017 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.019 | 0.070 |
| Scholarly communication | 0.033 | 0.030 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.006 | 0.012 |
| Insufficient payload (model declined to judge) | 0.009 | 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".