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Record W4394694109 · doi:10.32920/25569678.v1

Stress Across the Lifespan in Canada: From Risk to Management. Conference Report

2024· preprint· en· W4394694109 on OpenAlexafffundabout
Alexandra Fiocco

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldHealth Professions
TopicHealth, psychology, and well-being
Canadian institutionsToronto Metropolitan University
FundersCanadian Institutes of Health Research
KeywordsGerontologyPolitical scienceMedicine

Abstract

fetched live from OpenAlex

In 2021, the Toronto Metropolitan University Institute for Stress and Wellbeing Research welcomed over 200 conference delegates across Canada to the inaugural Canadian Stress Research Summit (CSRS) to share ideas and foster collaboration among Canadian scholars. This conference was unique from existing international stress-related conferences as it bridged science and community. The objective of this conference report is to provide an overview of the 3-day virtual inaugural stress conference, offering a summary of the keynote addresses, themed symposia, spotlight presentations, graphical designs of selected presentations, and conference feedback. Overall, the CSRS highlighted important methodological considerations in understanding the relationship between stress exposure and various outcomes of interest that pertain to the mental health and wellbeing of Canadians. Furthermore, there is a need for continued work to understand stress across the lifespan from an inclusive and diverse Canadian lens.

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)0.002
metaresearch head score (Gemma)0.004
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.109
Threshold uncertainty score0.790

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.006
Science and technology studies0.0120.001
Scholarly communication0.0050.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.067
GPT teacher head0.454
Teacher spread0.387 · 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
GenreOther

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
Published2024
Admission routes3
Has abstractyes

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