Ekonomická integrace imigrantů v Kanadě na prahu 21. století
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This Diploma Thesis aims to analyze the economic situation of the immigrants to Canada and evaluate the success of their integration to the Canadian labour market and society. The current immigration policy is based on the undiscriminatory point system by which Canada tends to maximalize the incoming human capital. The Diploma Thesis is divided into three parts, the first one tries to define the basic concepts and terms of the topic, the second one illustrates the historical development of the immigration policy and the last chapter examines the barriers and problems the new immigrants are facing to. The previous analysis should confirm or disprove the following hypothesis: the maximalization of the human capital is not optimal for the longterm goals of the immigration policy, mostly because of the barriers that the immigrants are facing to. They often do the job for which they are overqualified, therefore the waste of the human capital occurs and the immigrants are not able to integrate properly to the labour market. Forthcoming attitude towards the recognition of the foreign credentials, the accelaration of the administrative procedures and the willingness to provide more information to the potential immigrants prior their arrival to Canada, might bring an improvement to the integration process.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it