Benefits, Failures & Implementation of Intranets: An Intranet Action Plan For Goeasy Ltd.
Bibliographic record
Abstract
Employee intranets have long served as tools to transfer information and strategic initiatives to corporate employees. However, over the last two decades, intranets have evolved into tools for not only top-to-bottom communication, but empower employees to communicate upward, collaborate, ask questions and participate in the virtual culture of the organization. With a rising popularity and dependency on instant messaging, tech-savvy interactions and prompt access to information, workers expect their employers to inform while providing a vibrant, interactive place to work. Although there’s no shortage of available technology to create the ideal portal, developing, implementing, adapting and maintaining an intranet is not an easy task. This applied research project is designed to build a case study for goeasy Ltd., a mid-sized, non-prime lending company, who is scheduled to implement an intranet in Q4, 2021. This MRP draws upon existing scholarly sources and personal observation within the organization to serve as a research foundation for an official procurement plan for the organization’s intranet project.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".