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Record W2624718361

E-Learning and small business: a Nova Scotia perspective

2013· article· en· W2624718361 on OpenAlexfundaboutno aff
Wendy Doyle, Jeff Young

Bibliographic record

VenueSaint Mary's University Institutional Repository (Saint Mary's University) · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsnot available
FundersMemorial University of Newfoundland
KeywordsNova scotiaNova (rocket)Perspective (graphical)SociologyComputer scienceEngineeringArtificial intelligenceEthnologyAeronautics
DOInot available

Abstract

fetched live from OpenAlex

Nineteen small business owners/managers in the Halifax Regional Municipality were interviewed regarding their workplace learning. Of particular interest was their e-learning activity. Results of this study indicate that 19 firms (100%) had access to a computer and that 18 firms (95%) access to the Internet. However, only 16 owners of the 19 firms (84%) used the computer and 15 of the 19 owners (79%) used the Internet. The computer was used by owners for a variety of things, mostly business related, for example, accounting. However, only three described specific use of the computer for learning, for example, through CDs. Internet use was mainly for broad-brush information access, a learning outcome however, only two people identified specific e-learning activities. Several owners discussed opposition to e-learning. Results are discussed and future research directions are identified.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.070
Threshold uncertainty score0.161

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.003
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.014
GPT teacher head0.230
Teacher spread0.216 · 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

Citations4
Published2013
Admission routes2
Has abstractyes

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Same venueSaint Mary's University Institutional Repository (Saint Mary's University)Same topicEducation Systems and PolicyFrench-language works237,207