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Record W171824132

An analysis of Fatigue in Women Breasts Cancer Survivors

2009· dissertation· en· W171824132 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSETU Waterford Libraries - Open Access Repository · 2009
Typedissertation
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsnot available
Fundersnot available
KeywordsSoftwareIndigenousProduct (mathematics)Software as a serviceIrishBusinessService (business)PaymentGeneral partnershipMarketingSoftware developmentEngineeringComputer scienceFinance
DOInot available

Abstract

fetched live from OpenAlex

Abstract The purpose of this study is to investigate how indigenous software companies are pricing and licensing their product and service offerings. Nearly a decade ago, almost all software product companies sold software by offering perpetual licences and the software companies performed local installations on their clients’ premises. Today the Software-as-a-Service (SaaS) model is having a profound influence on the way software is currently charged and licensed. In place of an upfront payment in the form of a licence fee the cost of the service, upgrades, backups and support are all included in a specific fee (subscription). The Ireland-Newfoundland Partnership (INP) fund supported this research project. The research focused on Irish and Newfoundland indigenous software companies and with the help of the INP fund, the researcher collected part of the primary data in Newfoundland, Canada. Conducting the study in two jurisdictions enabled the researcher to identify similarities and differences amongst the indigenous software vendors in the two regions. Mixed-methods surveys are pursued to achieve the research objectives. The primary data used in this study was gathered through a questionnaire administered to 220 indigenous Irish software companies, with a response rate of 29% and a series of six semi-structured interviews. The interviews were conducted with owners and managers in Ireland and Newfoundland. This mixed-method survey enabled the researcher to establish information as regards the industry sector, gain an in-depth understanding of how software companies are pricing and licensing their software offerings and understand exportation of software. The findings that emerged from this research show that pricing was dependent on a vendor’s software business model. The outcome of this study shows that there appears to be a mixture of software licensing methods used by software vendors surveyed. Some vendors are using the traditional software licensing methods while others are using contemporary methods such as usage-based methods. A second finding that surfaced from this study relates to the pricing methods used by software vendors surveyed. In general, vendors’ pricing methods are categorised as cost-based, competition-based or customer-based. It emerged that despite the software owners indicating that they use customer-based methods, a cost-based approach dominated both the questionnaire and interview findings. It was also discovered that software vendors were no longer offering pure product or pure services to their customers and that SaaS was increasing in popularity as a pricing model amongst the Irish and Newfoundland software vendors. The outcome of this study offers a software-pricing template attached as Appendix F, which would help practitioners to learn from their experience and induct staff assuming responsibility in this area.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.003
Open science0.0020.000
Research integrity0.0010.001
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 head0.029
GPT teacher head0.369
Teacher spread0.339 · 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