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Record W4286229593 · doi:10.1177/0160323x221115358

Small Town, Short Work Week: Evaluating the Effects of a Compressed Work Week Pilot in Zorra, Ontario, Canada

2022· article· en· W4286229593 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueState and Local Government Review · 2022
Typearticle
Languageen
FieldHealth Professions
TopicWorkplace Health and Well-being
Canadian institutionsWestern UniversityYork University
Fundersnot available
KeywordsStaffingWork (physics)Flexibility (engineering)Pilot programOperations managementEngineeringPublic relationsMedical educationManagementNursingMedicinePolitical scienceEconomics

Abstract

fetched live from OpenAlex

On September 1, 2020, the Township of Zorra, Ontario, Canada began a compressed work week pilot project designed to add flexibility for its employees in the wake of the COVID-19 pandemic. Office-based employees who opted into the pilot were given either Monday or Friday off from work and then worked longer shifts for the four remaining days. This field note provides information on the program's design and implementation and reports on the findings of pre- and post-pilot surveys designed to gauge attitudes of workers toward the compressed work week. Results indicate that the pilot was received positively and managed to avoid concerns typically associated with compressed work weeks, namely increased fatigue and staffing challenges. In addition to the evaluation of the pilot, we also provide insight into how organizational scale can aid in the development and design of public sector workplace innovations.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.564
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.052
GPT teacher head0.335
Teacher spread0.282 · 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