MétaCan
Menu
Back to cohort
Record W7029741578

La pandémie immunise-t-elle les\nQuébécois contre l’impôt ?

2020· article· fr· W7029741578 on OpenAlexaboutno aff

Bibliographic record

VenueProject Muse (Johns Hopkins University) · 2020
Typearticle
Languagefr
FieldBiochemistry, Genetics and Molecular Biology
TopicRace, Genetics, and Society
Canadian institutionsnot available
Fundersnot available
KeywordsOpenness to experienceIntervention (counseling)Public policyIncome SupportPublic spendingPublic support
DOInot available

Abstract

fetched live from OpenAlex

The COVID-19 pandemic has forced governments to create and quickly implement new policies and programs to both mitigate the health effects of the virus and support the income of individuals. Many are wondering whether these income support programs are there to stay or if the current crisis marks a turning point in the debate about the adequate level of intervention by the State. This article tries to establish if public opinion about this issue is affected by current circumstances. Survey data was collected in Quebec at the height of the pandemic. It shows that, compared to earlier surveys, Quebecers are much more tolerant of the level of general taxation that applies to them. It also shows that opinions about the level of taxation are not influenced by having individually benefited from an income support program such as the Canada Emergency Response Benefit. This new openness to possibly higher taxes in the future does not seem to depend on exposure to the current crop of emergency support programs. Other surveys will be required to assess whether these changes are permanent or if they will recede after the crisis is over. Abstract: La pandémie de COVID-19 a forcé les gouvernements de partout dans le monde à mettre en place très rapidement un nombre important de nouvelles politiques non seulement en matière de santé, mais également dans le domaine sociofiscal. Plusieurs se questionnent ouvertement à savoir si ces nouvelles mesures sont là pour de bon et si la crise et la réponse qui y est apportée marquent un changement de direction quant à la taille des États occidentaux et l'ampleur de leur intervention. Cette étude vise, à l'aide de données de sondage, à observer si des changements sont à l'œuvre quant à ces questions au sein du public. Les données ont été colligées au Québec au plus fort de la crise sanitaire. Les Québécois se montrent en général plus tolérants face au niveau des impôts par rapport aux données d'enquêtes précédentes. Nous observons également que les Québécois qui ont directement bénéficié des mesures de soutien comme la Prestation canadienne d'urgence ne diffèrent pas des autres Québécois quant à leur opinion sur le poids des impôts. La plus grande ouverture à des impôts plus élevés à l'avenir semble donc généralisée et ne s'explique pas par les bénéfices individuels tirés des programmes inédits liés à la pandémie. D'autres enquêtes seront nécessaires pour mesurer si ces changements sont durables.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0200.001

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.

Opus teacher head0.016
GPT teacher head0.218
Teacher spread0.202 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueProject Muse (Johns Hopkins University)Same topicRace, Genetics, and SocietyFrench-language works237,207