An assessment of the capacity and responsiveness of a national system to address the threat of invasive species: a systems approach
Bibliographic record
Abstract
Abstract Background Invasive species affect the social, economic and health aspects of many farmers and are known to cause major losses with considerable costs spent on management. Several international agreements recognise the threat caused by invasive species which signatories have an obligation to manage. This paper sets out a framework and method for assessing the performance and responsiveness of a country’s invasive species system. The objective is to engage with key actors within an invasive species system using a participatory approach to determine the strengths, weaknesses and functioning of the invasive species system. The aim is to understand the system as it currently stands and to identify opportunities and challenges from various actor’s perspectives. Method The first step was to define an invasive species system and its component parts including the functions, expected outputs and contextual factors. A range of indicators and participatory tools were developed to measure system performance. The process includes a desk review, stakeholder workshop and key informant interviews. The approach was piloted in Kenya. Results Actors who are active in managing invasive species were identified and engaged. The assessment process provided insights into the current functioning of the invasive species system. A number of key challenges were identified, for instance, the lack of finance, governance and leadership, as major barriers to effective system performance, alongside the lack of a central coordinating body to guide invasive species management. Conclusion The systems approach developed helped in facilitating the engagement of key actors within a country’s invasive species system. The actors performed a self-assessment of the current system status and determined what is required to move towards more effective management of invasive species. Participants responded positively to the framework and process developed, which contributed to developing ownership and clear steps forward towards a more pro-active, rather than reactive, approach in the management of invasive species.
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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 | 0.024 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".