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Record W2001227704 · doi:10.1108/02634500910955218

Global text project: new horizons in textbook marketing

2009· article· en· W2001227704 on OpenAlex
Leyland Pitt, Deon Nel, Gené van Heerden, Anthony Chan

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMarketing Intelligence & Planning · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicWikis in Education and Collaboration
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsOriginalityOpen sourceValue (mathematics)Computer scienceProduct (mathematics)New product developmentNew horizonsProject managementMarketingBusinessEngineeringCreativityPolitical scienceSystems engineeringSoftwareMathematics

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to introduce the global text project (GTP) case. The unique developments of the case provide insight of the many challenges and opportunities created within the open source movement. Design/methodology/approach A case study was used to illustrate some of the most pertinent and interesting developments in the field of marketing, alluding to the open source environment. A Wikibook was created in collaboration with all the participants of a graduate course and the development of this offering initiated a project called the GTP. Findings The open source movement has created new ways of thinking and acting. The contributions, modifications and improvements by all users to the original product provide a platform of continuous improvement and development. Originality/value The value of the paper lies in the lessons and challenges learnt from the case especially by those managing the GTP.

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.

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)0.005
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.742
Threshold uncertainty score0.822

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.034
GPT teacher head0.373
Teacher spread0.340 · 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