Bibliographic record
Abstract
Over the past century, we have become our own worst enemy, by letting water seep in unnoticed into our ship. Our ship is what we call Canada, and the water seeping in are the invasive species, which is defined as “an organism (plant, animal, fungus, or bacterium) that is not native [to the area] and has negative effects on [the] economy, [the] environment, or [the area’s] health”.3 In the past, ships were saved by closing their holes and removing any water that seeped inside. This provided a permanent solution which prevented endless removal of water that seeped inside the ships. This analogy can be applied to invasive species in Canada. We need to stop existing invasive species from entering, (plug the present holes) and prevent new invasive species from entering, (prevent new holes from occurring) in our ship before we start finding a solution for the species present in our home (the water that has already seeped in). To understand how to repair the ship holes, we need to first identify the invasive species in Canada, the damage they are causing, their reproduction, and how we can eliminate future invasions. With such a large ship, the hull must be viewed in parts, where one areas of great concern is the Great Lake regions.Nous sommes à bord d’un navire qui coule! Au fil de notre siècle, nous sommes devenus nos pires ennemis en permettant l’eau de rentrer inaperçue. Notre navire est ce que nous appelons notre maison, notre pays, et l’eau qui rentre sont les espèces invasives. Dans le passé, les bateaux étaient sauvés et bouchant les trous et en enlevant l’eau. Le bouchon assurait qu’une solution permanente était en place au lieu d’enlever l’eau inutilement, car elle rentrait en permanence dans les trous. La même analogie peut être appliquée à des espèces invasives. Nous devons empêcher des espèces invasives d’entrer dans notre pays (boucher les trous) et éviter que des nouvelles entrent (prévenir que d’autres trous se forment) dans notre navire avant de trouver une solution pour l’espèce qui rentre dans notre maison (l’eau qui est déjà rentrée). Afin de comprendre comment réparer les trous, nous devons comprendre ce que sont des espèces invasives, les dommages qu’elles causent, comment elles entrent et comment elles se propagent, et comment nous pouvons prévenir leur entrée. Avec un tel navire, nous devons regarder les parties du bateau séparément. Une des régions inquiétantes est la région des Grands Lacs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".