Navigating the maze of reading comprehension for first grade learners
Bibliographic record
Abstract
studies the complexities of reading comprehension among first grade French-speaking learners in Quebec.She is looking at the difficulties in assessing these early years students and working on a new and more reliable assessment tool called ESPACE. Navigating the maze of reading comprehension for first grade learners Language didacticsAnaphora -the use of a word referring to a word used earlier (or, sometimes, later) in a text to avoid repetition (e.g., the pronouns he, she, it and they)Cognitive load -the amount of cognitive resource (such as working memory) required to perform a task Explicit -when meaning is stated clearly Grapheme -a written symbol of a phoneme (sound).This could be a single letter (such as 'e' in 'egg') or combination of letters (such as 'ee' in knee') Implicit -when meaning is implied, rather than stated directly, and has to be inferred Inference -drawing conclusions or making educated guesses based on information provided in the text and one's own background knowledge Phoneme -smallest unit of sound in a given language Reading comprehension -understanding the meaning of written text, including explicit and implicit information
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".