No. 9 General Report on Lands of the West Kimberley Area, W.A.
Bibliographic record
Abstract
CSIRO’s survey of the West Kimberley area covered about 122,000 km2, including the two important coastal towns of Derby and Broome, the inland centre of Fitzroy Crossing and extending east almost to Halls Creek. The survey met a repeated request by the Western Australian government faced with both land degradation and continuing pressure for further developments. Field survey commenced in 1959 and identified 50 land systems ranging from 130 km2 to 15,800 km2 though mostly less than 5,400 km2. The report identifies between two and eight land units in each system and describes the area, landforms, soils and vegetation of 265 land units. The relative positions are shown on block diagrams with general descriptions of the geology and geomorphology of each land system. The report includes chapters describing:Geomorphology — five physiographic divisions divisible into regions in which there is a ‘unity’ in the relief and evolution of the landscapeSoil Types — areas that could be considered for irrigation while noting their likely limitationsClimate — meteorology and climatic characteristics, and relating climate to plant growth and animal productionVegetation and Pastures — features of upper and lower story plant associationsPasture Lands — additional information on location, area, environment, composition, pastoral value and response to grazingThe Pastoral Industry — the beef and sheep industriesAgricultural Potential — the potential for rain-fed and irrigated agriculture Map 1— Lands of the West Kimberley area, Western Australia. Two maps on sheet, each scale 1:1,000,000: Land Systems by RL Wright; Pasture Lands by NH Speck. With insets: Geomorphic Regions and Generalized Geology by RL Wright; Soils by GK Rutherford and Rainfall. CSIRO Land Research Series No. 9, 1964. Editor's Note: As well as ongoing pastoral and pearl industries, the area now has major importance for mining and tourism, and considerable potential for gas, bauxite and other mineral developments.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.171 | 0.092 |
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".