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Record W7054821894

Attitudes & perceptions about the trades as a potential career choice: A Study of Otago University students

2011· dissertation· en· W7054821894 on OpenAlexaboutno aff

Bibliographic record

VenueOtago University Research Archive (University of Otago) · 2011
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsPerceptionEconomic shortageWork (physics)PhenomenonFocus groupWork experienceGraduation (instrument)Survey data collectionCareer development
DOInot available

Abstract

fetched live from OpenAlex

Anecdotal evidence suggests that the trades have long been associated with negative attitudes and stereotypes that have led to a decline in the number of people choosing to undertake a career in the trades. This phenomenon is currently highlighted by the skills shortage in the trades. Following the work of Scharfenburg (2000), who investigated the attitudes of Canadian high school students towards apprenticeships, this research investigated the attitudes and perceptions of students towards the trades as a career option.\nOne hundred and four Otago University students completed a survey indexing their attitudes and knowledge concerning the trades. Results from this survey indicated that students had a limited knowledge of what occupations denote a trade, what skills and training are required to become a tradesperson and finally what financial return and employment prospects can be offered by the trades. It was found that students who had a lack of awareness about careers in the trades were more likely to have increased negative attitudes concerning the trades. Furthermore, these students were less likely to consider the trades as a career option. These results confirm both Scharfenburg (2000)'s findings and anecdotal evidence suggesting that a greater focus needs to be placed on promoting the trades in a manner that increases students' awareness of careers within the trades.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.191
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0040.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0570.000

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 head0.043
GPT teacher head0.320
Teacher spread0.276 · 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.

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
Published2011
Admission routes1
Has abstractyes

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