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Remote Management of a Province-Wide Youth Employment Program Using Internet Technologies

2006· book-chapter· en· W4237111601 on OpenAlexaffabout
Bruce Dienes, Michael Gurstein

Bibliographic record

VenueCases on information technology series · 2006
Typebook-chapter
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsCape Breton University
Fundersnot available
KeywordsNova scotiaStaffingThe InternetIntranetGovernment (linguistics)Internet accessBusinessWorld Wide WebComputer sciencePolitical scienceGeography

Abstract

fetched live from OpenAlex

A province-wide network of Community Access Internet sites was supported during the summers of 1996 and 1997 by Wire Nova Scotia (WiNS), a government funded program to provide staffing, training and technical support for these centers. The program was managed remotely from an office in Sydney, Nova Scotia (Canada) using a variety of Internet-based technologies, including e-mail, a Web site, conference boards, real-time chat, and mailing lists. Remote management enabled the efficient and low-cost operation of a program involving 67 sites with field placements, plus six regional coordinators and the technical and administrative staff at the hub in Sydney. Effectiveness of remote management was enhanced when employees participated in an initial face-to-face regional training workshop. This training not only familiarized the employees with the communications technologies, but, perhaps more importantly, put a human face and personality to the messages that later came electronically over the Intranet.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.896
Threshold uncertainty score0.208

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.002

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 head0.045
GPT teacher head0.315
Teacher spread0.270 · 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 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
Published2006
Admission routes2
Has abstractyes

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