Bibliographic record
Abstract
The geography is an old and young science. Many people often feel confused and regard the geography knowledge as science of geography. With time goes, modern science of geography is endowed with its own new connotation and glows the new vigor. This essay discusses the nature of Geography Science, analyzing the value of Geography Science and going forward the development of Geography Science. It is the ultimate objective to illustrate and let people know and understand its functions. Key words : Geography Science; Attribute; Value; Development Resume La geographie est une science ancienne et jeune. Beaucoup de gens se sentent souvent confus et considerent la connaissance la geographie comme science de la geographie. Avec le temps va, de la science moderne de la geographie est dote d’une nouvelle connotation propre et brille la nouvelle vigueur. Cet essai traite de la nature de la science Geographie, l’analyse de la valeur des sciences et de geographie a l’avenir le developpement des sciences de la geographie. Il est l’objectif ultime d’illustrer et de laisser les gens connaitre et de comprendre ses fonctions. Mots cles : Science Geographie; Attribut; Valeur; Le developpement
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 | 0.009 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.007 | 0.029 |
| Scholarly communication | 0.019 | 0.015 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.014 | 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".