SPECIFICS OF FUTURE PSYCHOLOGISTS' NATURAL SCIENCE PREPARATION IN HIGHER INSTITUTIONS OF CANADA
Bibliographic record
Abstract
Article’s purpose and methodology. The reforms that are currently taking place in Ukrainian educational system actualizes the problem of future professionals’ science preparation in the context of its integration into the world educational space. The analysis of future psychologists’ sciences preparation in the leading institutions of higher education in Canada was conducted in accordance to the outlined goal and its peculiarities were identified. Scientific novelty. It is noted that one of the main peculiarities of future psychologists’ science preparation in Canada higher education institutions is that it is mandatory in universities of Canada and is characterized by systematic, integrative, professional practical orientation. All science disciplines are presented taking into account biological focus: cognitive neurosciences, biological neurosciences, medical neurosciences, engineering and technological neurosciences and divided in blocks – those that are compulsory for study and optional. It was defined that optional science courses in Canada higher education institutions can not be totally ignored by students, since curricula is designed in such a way that a student who does not attend any of the optional courses offered will be unable to complete a curriculum that involves the study of sciences disciplines to a certain extent. It is indicated that in Canada higher education institutions optional courses are selected with the consent of the University Consultative Committee from the list of courses offered by their own university or universities of other countries. It is noted that the study of the advanced ideas of future psychologists’ sciences preparation in higher education institutions of Canada and their comparison with Ukrainian pedagogical experience will help to effectively solve the problems of its modernization in higher education institutions of Ukraine. In order to bring future psychologists’ science preparation in Ukrainian higher education institutions in line with the world standards, it is expedient to modernize it taking into account native and foreign experience. Сonclusions. The quality of future psychologists’ science preparation in higher education institutions of Ukraine will increase if: its content will correspond to modern science achievements, will have a professional orientation, will contain general cultural information that will form future psychologists’ understanding of the unity of science, culture and professional activity. It is necessary for modules and themes of the training courses to have a logical sequence that will ensure the unification of all knowledge, skills and abilities acquired during the learning process into a unified system, and the implementation of science education and the diagnosis of its quality will be carried out using innovative methods and modern technologies.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".