No. 15 General Report on Lands of the Wabag–Tari Area, Territory of Papua and New Guinea, 1960–61
Bibliographic record
Abstract
The Wabag–Tari survey covered an area of approximately 15,940 km2 including most of Mendi Province and the central part of the Southern Highlands Province. Altitude ranges from 600 m with lowland hill forest to the summit of Mt Giluwe at 4,165 m with alpine grassland. The survey established five groups of land systems distinguished by their dominant parent material – limestone, non-calcareous sedimentary rocks, basic intrusive rocks, volcanic materials and alluvium. The survey identified 199 land units in 39 land systems ranging from 10 km2 to 4,015 km2 with between two and eight units each. The report provides general descriptions for the geology, landscape, altitude and relief, population and land use of each land system. The relative area, landform, soil, vegetation and land capability class is recorded for each land unit and their positions are shown on block diagrams. Individual disciplinary chapters describe: Map 1— Land Systems of the Wabag–Tari area, Territory of Papua and New Guinea by RA Perry, MJ Bik, HA Haantjens, JR McAlpine, R Pullen, RG Robbins and GK Rutherford. Scale 1:250,000. CSIRO Land Research Series No. 15, 1965. Map 2— Lands of the Wabag–Tari area, Territory of Papua and New Guinea. Two maps on sheet, each scale 1:500,000: Land Capability Groups by GK Rutherford and RA Perry; Land Use Intensity by JR McAlpine. CSIRO Land Research Series No. 15, 1965. Map 3— Forest Types of the Wabag–Tari area, Territory of Papua and New Guinea by JC Saunders. Scale 1:250,000. CSIRO Land Research Series No. 15, 1965.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.044 | 0.011 |
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".