Report on Discussion Forum on Information Services in the Asia-Pacific and ACRIS/CARIS in the 21st Century: An Asia-Pacific Regional Consultation
Bibliographic record
Abstract
"Many forestry projects in the Asia-Pacific region now encompass information as part of their mandate, including, for example, assistance with publishing, creation of information centres, document delivery and technology development. A number of organisations in the region share common objectives to develop capacity in the forestry research sector. To this end, representatives of the ASEAN Forest Tree Seed Centre (AFTSC) Project, ASEAN Institute of Forest Management (AIFM), Center for International Forestry Research (CIFOR), International Development Research Council (IDRC) and CAB International (CABI), and the Forestry Research Support Programme for Asia and the Pacific (FORSPA) have proposed solutions through collaborative activities. \n \n"A proposed regional forum of key people in the Asia-Pacific, to discuss forestry information services needs and opportunities, was preceded by data gathering from specific institutions in the region. Aquestionnaire surveyed the facilities and support for information services units in forestry institutions throughout the Asian-Pacific region. \n \n"This report details the results of that survey and the proceedings of the Discussion Forum on Information Services in the Asia-Pacific held at Bogor, Indonesia, from 30 October to 1 November 1996. The list of perceived needs generated by the survey guided the deliberations of the Forum. Participants identified priority goals, action plans for their achievement and responsible agents/agencies, expected time frames and likely costs. The priority goals agreed upon by the group were: \n--To demonstrate the value of information in contributing to a country's development. \n--To improve the ability of Information Services Unit (ISU) staff to pro-actively meet user demands. \n--To establish a core of well-trained ISU staff and users through an integrated programme of training. \n--To improve effectiveness of forestry information services by providing access to e-mail and the Internet, and establishing a list server."
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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 | 0.044 | 0.037 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.022 | 0.003 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.004 | 0.016 |
| Research integrity | 0.029 | 0.021 |
| Insufficient payload (model declined to judge) | 0.049 | 0.008 |
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".