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Record W4241891592 · doi:10.24124/2013/bpgub1559

Generation next environmental affordance and the capacity building of a new workforce in northwest British Columbia

2013· dissertation· en· W4241891592 on OpenAlexaffabout
Lucinda M. Praught

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEconomics, Econometrics and Finance
TopicCommunity Development and Social Impact
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsAffordanceWorkforcePreparednessSustainabilityPublic relationsBusinessPolitical scienceEngineeringEconomic growthManagementPsychologyEconomicsEcology

Abstract

fetched live from OpenAlex

The purpose of this paper was to develop a better understanding of the issues surrounding the capacity development of the next workforce in Northwest British Columbia. This project undertook a closer look at the affordances, constraints, and the outcomes of education as they are currently, and identified the pressing demands of multi-billion dollar projects on the horizon. Research revealed that the outcomes in education were identified as being interconnected by the vulnerability of children as they developed in the early years of life before entering the education system. Some of the strongest indicators of the connectedness between vulnerability and affordances were identified by the affordance of family and time. The success of human capital development and economic sustainability should be built on the strong foundation of preparedness in education. The outcomes of industry rely on a readily available labour market and this is only made possible by the cohesive cooperation of community, industry, and education partners. Undertaking a comprehensive review of literature, reports, and statistics provided by Stats BC, this project identified the recommendations for reviews on existing family policies, engaged communication from leadership, and a commitment from industry to become involved in sustainable outcomes of communities. --Leaf ii.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.294
Threshold uncertainty score0.706

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.053
GPT teacher head0.223
Teacher spread0.170 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2013
Admission routes2
Has abstractyes

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