BIOL 3250 Field study data
Notice bibliographique
Résumé
Terms and definitionsRepetition: The amount of times the study is repeated at a novel park Quadrat: The 0.5m by 0.5m tool used and number of times placed per siteLocation: The sites of the studyDate: The specific time frame of recordingPlant species: The taxonomic classification of the plant identified with in the quadrat Classification: Native or Non-native categorization assigned based on whether the plant originated in North America or not according to scientific literature Number of individuals: The number of individuals accounted for of one specific species within a quadratPopulation density: The total number of a specific plant species within a specific quadrat divided by the area of the quadrat, 0.25m2 Population density of native and non-native plant species in Toronto were taken at four different parks that were indicative of a typical Toronto park, these were Figrove Park and Topcliff Park measured on October 16th 2020 and Oakdale Park and Yorkwoods Park measured on October 17th 2020, with all data recorded in a field journal by hand. The forecasts were a temperature of about 10 ºC, mild winds and clear skies on October 16th, 2020, and a temperature of about 11 ºC, mild winds and partial clouds on October 17th 2020. First an outline of the parks was taken from google maps and divided into even boxes and assigned a number. A random number generator was used to determine 10 sites within each park that the quadrat would be placed. At the site, population density was measured by first identifying the species using the common weed species of Ontario field guide or the Newcomb’s field guide within a 0.5m by 0.5m quadrat for all 10 quadrats at each study site. Accounting for the individual species was conducted where if the species had more than 50% of its body within the quadrat, it was recorded but if it had less than 50% within the quadrat then it was excluded from recording. The population density was calculated by totalling the number of individuals within the specific quadrat it was found and dividing it by the area of the quadrat, 0.25m2. Classification of the plant species was given a native or non-native classification based on scientific literature. Cirsium arvense is classified as a non-native species according to Hodgson (Hodgson, 1968). Taraxacum officinale is classified as a non-native species as its origins are traced back to Europe according to Wirngo (Wirngo et al, 2016). Plantago major is classified as a non-native species as it is naturally found in Eurasia according to Hawthorn (Hawthorn, 1973). Malva neglecta is a non-native as its origins stems from Eurasia according to Makowski (Makowski and Morrison, 1989). Ambrosia artemisiifolia is native to North America according to Bassett (Bassett and Crompton, 1975). Digitaria spp. is a non-native species originally found in Eurasia according to Lundholm (Lundholm and Marlin, 2006). Trifolium repens is classified as a non-native species as it was originally introduced to the Americas from Europe according to Fraser (Fraser, 1989). Finally, Solidago canadensis is found natively in North America according to Yuan (Yuan et al, 2013).
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,007 | 0,009 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,246 | 0,129 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».