Through the Looking Glass: Interpreting Growing Success, The Kindergarten Addendum, Ontario’s Assessment, Evaluation, and Reporting Policy Document
Bibliographic record
Abstract
Transforming the early years program to re ect changing perspectives is not an easy task, particularly in the context of assessment, evaluation, and reporting. This article explores the interplay of alternative perspectives in a critical look at Ontario, Canada’s newly released policy document Growing Success, The Kindergarten Addendum: Assessment, Evaluation, and Reporting in Ontario Schools (Ontario Ministry of Education, 2016b). As the kindergarten program calls for transformation in pedagogical approaches, its assessment policy seems to stutter as it attempts to keep pace. Through unpacking the assessment addendum, this article introduces potential alternative interpretations of the purpose of assessment from constructivist and social constructivist perspectives, illustrating key challenges in the transformation process. This muddled cojoining of perspectives highlights a lack of clarity in purpose of the kindergarten program which has the potential to negatively affect both child and educator, while leaving parents and community confused and befuddled.
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 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 | 0.060 | 0.119 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.010 | 0.018 |
| Science and technology studies | 0.030 | 0.037 |
| Scholarly communication | 0.025 | 0.012 |
| Open science | 0.006 | 0.011 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".