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Record W7056950312

The Generation Z workplace: well-being and productivity for the next generation

2018· dissertation· en· W7056950312 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2018
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsProductivitySustainabilityPracticumCertificationEnvironmental stewardshipPopulationEnvironmental design
DOInot available

Abstract

fetched live from OpenAlex

This interior design practicum investigates how workplace wellbeing and productivity can be optimized for members of Generation Z, who were born after 1996 and represent 23% of the Canadian population (Statistics Canada, 2016). This practicum also explores the integration of Generation Z’s values, characteristics, needs and preferences into the existing workforce, which includes members of the Baby Boomer Generation (born 1946-1964), Generation X (born 1965-1976), and Generation Y (born 1977-1995). Furthermore, this project explores how interior design strategies can facilitate organisational goals such as intergenerational knowledge transfer, succession planning, and training. The investigations of Generation Z are theoretical, as their workplace needs and preferences are still unknown. By looking at sociological and psychological theory, market research data, and current workplace trends, it is possible to anticipate what the workplace may look like in the near future. Further investigations include contextual analysis, precedent analysis, and literature reviews on the environmental and psychological factors that affect workplace wellbeing and productivity. Each investigation provides valuable insights towards designing the Generation Z workplace. The resulting design for the workplace of the future is located in one of Winnipeg, Manitoba’s newest and most environmentally responsible buildings, Centrepoint at 311 Portage Avenue. The building, which has attained a Gold certification from the Leadership in Energy and Environmental Design (LEED) Building Standard, was strategically chosen to help the proposed design achieve environmental sustainability goals. Specific human health and wellbeing goals are also implemented and measured against the criteria in the WELL Building Standard.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0030.001
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.025
GPT teacher head0.236
Teacher spread0.211 · 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 designQualitative
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
Published2018
Admission routes1
Has abstractyes

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