RSI-06: The impact of COVID-19 on personal finances in Quebec / COVID-19: l’état des finances personnelles au Québec
Bibliographic record
Abstract
ON RECOMMANDE AUX UTILISATEURS DE COMMENCER PAR LIRE LE FICHIER «READ ME» INCLUS DANS L’ARCHIVE, QUI CONTIENT DES INFORMATIONS IMPORTANTES ET PEUT ÊTRE OUVERT AU FORMAT TEXTE BRUT AVEC LA PLUPART DES LOGICIELS D’ÉDITION. Résumé Enquête déployée en mai 2020 par le panel Web Qu'en pensez-vous?de la firme Delvinia, pour le compte de l’Institut sur la retraite et l’épargne, de la Chaire de recherche sur les enjeux économiques intergénérationnels (CREEi) et du Centre interuniversitaire de recherche en analyse des organisations (CIRANO) 3 009 répondants du Québec âgés de 25 à 64 ans Questions portant sur Les caractéristiques sociodémographiques Les revenus de travail et autres revenus du répondant et du conjoint ainsi que les dépenses du ménage, pour 2019, pour avril 2020 et les anticipations pour le reste de 2020 Le bilan (actifs et dettes) en date de fin 2019 et de fin avril 2020 L’emploi et les caractéristiques de l’emploi en 2019, en avril 2020 ainsi que les anticipations pour le reste de 2020 Certaines préférences et anticipations pour l’avenir USERS ARE ADVISED TO START BY READING THE “READ ME” FILE INCLUDED IN THE ARCHIVE, WHICH CONTAINS IMPORTANT INFORMATION AND CAN BE OPENED IN RAW TEXT FORMAT USING MOST TEXT EDITING SOFTWARES. Summary Survey fielded in May 2020 by Delvinia’s AskingCanadians web panel, on behalf of the Retirement and Savings Institute, of the Research Chair on Intergenerational Economics (CREEi) and of the Center for Interuniversity Research on Organizations (CIRANO) 3,009 respondents from Quebec, aged between 25 and 64 years old Questions on Sociodemographic characteristics Earnings and other income of the respondent and spouse as well as household spending, for 2019, for April 2020 and expectations for the rest of 2020 Balance sheet (assets and debts) as at end of 2019 and end of April 2020 Employment and its attributes in 2019, in April 2020 and expectations for the rest of 2020 Certain preferences and expectations for the future
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.033 | 0.002 |
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".