Bibliographic record
Abstract
Recently, however, a couple of scholars called attention to another basic characteristic of space.According to them, space cannot be regarded as "a neutral box, in which historical actions take place", 2 but it is rather a human construction developed under (perhaps) social expectations. 3 Actually, these two attitudes suggest a differentiation between Space and spaces.Space in itself is an abstract entity, about which, though, we have experiences, we are yet unable to comprehend it in its totality.The several societies, cultures and individuals, therefore, construct spaces with the help of their spatial experiences.Spaces are well-built systems, which provide models of the incomprehensible Space.Spaces, unlike Space, are human products, and therefore, they can be represented.The most typical means of this is the map.The main goal of the map is objectivity, due to which it adopts a kind of God's view. 4 However, because the object of the map is space (not Space), maps never become absolutely objective.In connection with this, we should think of the modern maps of the World.In Europe, usually, we consider it normal that the European continent takes place in the middle of such maps, but we are surprised if we see an Australian map, in which Australia occupies the same position.In this way, maps, just as spaces, though they work towards objectivity, never get rid of subjectivity completely.After transforming Space into space, there ordinarily occurs the "conquest of the space".This means that the societies, cultures and individuals distinguish places within space.Following Yi-Fu Tuan's definition, if space becomes better known and associated with values, it transforms into place. 5 Here, we also arrive at the main subject of this dissertation, which is Klidsa's landscapes.What do one's landscapes tell us at all?First, the landscape (or landscape painting) is the typical genre of the place.They, more accurately, uncover the means by which the poet creates places in the homogeneity of the space.Landscapes, therefore, differ from maps focusing mainly on space.They are organised around arbitrary focal points, 6 as a result of which they, intentionally, abandon the general objectivity.Because their object is always a momentary
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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 teacher head, 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".