RESEARCH INTO CHANGES TO SIGNIFICANCE OF CROATIA IN CANADIAN IMPORT AND EXPORT WITHIN SPECIFIC INDUSTRIES: COMPARISON BETWEEN YEAR 2016 AND YEARS 2011-2015
Notice bibliographique
Résumé
This research and the associated paper represent the direct sequel of last year’s paper that marked the beginning of long-term research on significance of Croatia in Canadian import and exportwithin various industries by the same authors. While the focus of last year’s paper was on 5 years from 2011 to 2015, in this year’s paper those 5 years were being compared with the previous year 2016 that can be perceived as a kind of turning point in the relations of countries concerned, primarily through relations of EU (28 member countries, including Croatia) and Canada (10 provinces and 3 territories). With regard to research purpose of this paper, it can be explicitly defined as: to conduct unbiased, purposeful and multi-year research into changes to significance that Croatia had in Canadian import and export within specific industries. For that purpose, authors have decided to utilise exclusively websites created by Government of Canada that provide direct access to sufficient quantity of indorsed, relevant and official statistic data. Those were the main reasons why aforementioned websites were chosen as the central source of data in order to accomplish the research purpose of this paper. In relation to used research methods and approaches, in this paper authors have intentionally used only the most appropriate data from website by Government of Canada’s Office of the Chief Economist under Trade and Economic Statistics section as well as under Trade Investment and Economic Statistics subsection. Those datasets were utilized as the central source of numerical data for this wide-ranging research mostly because of their constancy, dependability and accessibility. Additionally, supplementary data by other carefully selected associations and organizations were used to further explicate import-export interrelations between Croatia and Canada. Conclusions that authors have drawn from the study of numerical data that included years 2011-2016 and from the detailed analyses and syntheses of the most relevant numerical data that link Croatia and Canada as well as their industries, actually represent the major research results of this paper. For these obvious reasons, major research results that were so clearly formulated can be used in a variety of professional purposes and in wide range of scientific researches. Finally, main implications of this paper were multiple logical deductions that can be made based on analyses and syntheses of numerical data as well as on proper comprehension of discussions within this paper. Those logical deductions should be perceived as stepping stones towards better import-export interrelations between Croatia and Canada that have the potential to improve, but only if previous experiences (including mistakes and omissions) will be properly used in future import-export endeavours that must take in consideration both previously mentioned countries.
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 | 0,002 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,006 | 0,012 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,004 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
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 ».