Bibliographic record
Abstract
This part study aims to research on the whole aspect of child protection in Canada. And so, this paper consists of five chapters as follows: (1)Canadian history of child protection, (2)definition of child abuse, (3)current situation of child protection in Canada, (4)outline of child protection and treatment, (5)triangular comparison of child protection and prevention in Canada, Australia and England. The first efforts at identifying and combating child abuse occurred in the latter part of the 19th century. Now, child abuse" can be defined in general as the following 4 kinds of child maltreatment: (1)Physical Abuse, (2)Sexual Abuse,(3)Emotional Abuse, (4)Neglect. An estimated 135,573 child maltreatment investigations were carried out in Canada in 1998. As the result, about 45% of those investigations were substantiated, 22% of those remained suspected, and other 33% of those were unsubstantiated. All provinces and territories have each child protection statutes and systems, but the age ranges covered for child maltreatment investigations vary from under 16 to under 19 in those statutes. This paper also notes briefly the triangular comparison of child protection in Canada, Australia, and England. All of these three countries have struggled to find adequate definitions of child abuse and the need to draw distinctions between acceptable tradition child rearing practices and inappropriate child maltreatment. The consequences of this study anyway inform us that Canadian child protection systems and methods are very useful for Japanese child welfare agencies to reconstruct the child protection processes and methods concerning how to treat the abused children and their families because Canadian people have a lot of advanced means of settling the child maltreatment.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".