Chapter 8 - The intensification of the agricultural landscape of the Maltese Archipelago (Temple landscapes Fragility, change and resilience of Holocene environments in the Maltese Islands)
Bibliographic record
Abstract
Bowen-Jones et al. (1961) in Malta: Background for Development furnish the reader with a prophetic edict which carries the threat of environmental catastrophe unless there is continual human investment. This book provides an unparalleled geographic assessment of the Maltese agricultural economy, in the years prior to independence, and still serves as a compendium of knowledge and terminology nearly sixty years later. The authors’ opening gambit recognizes the swell in national identity and the resulting desire to exert more control over the nation’s socioeconomic direction. However, their opening tonality also expresses an awareness of the influence of development and its potential threat moving into the future, thus directing the authors to the formation of a study that facilitated a greater understanding of the interplay between socio-economics and the landscapes of the Maltese Islands. [excerpt]
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 0.005 |
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".