Growing Up in Québec: the experience of a pilot study
Bibliographic record
Abstract
Growing Up in Québec, also known as the Québec Longitudinal Study of Child Development, 2nd edition (QLSCD 2), is a prospective cohort that began in spring 2021. Its goal is to follow the development of Québec children from the age of five months to adulthood in about 4,500 families. It is conducted by the Institut de la statistique du Québec and is based on the Québec Longitudinal Study of Child Development, 1st edition (QLSCD 1), which began in 1998 and is still ongoing. This article describes the Growing Up in Québec pilot study started in 2018, focusing on its objectives and key stages of completion, namely content selection, recruitment strategies and the retention plan, collection methods, adjustments to strategies made during collection, and methodology, including the construction of a socio-economic poverty indicator for population stratification. The article continues by presenting pilot results and their implications for the main survey. It ends with recommendations from the pilot study, exemplifying the wealth of experience gained from it.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 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".