Bibliographic record
Abstract
Abstract Collaborative Resources Solutions ( CRS ) is based on a real situation outlining the issues related to buying a service organization. This instructional case requires students to provide advice to a client who is considering purchasing a 50 percent ownership of a similar consulting business with the vision of blending the two companies together and increasing the knowledge base of her current company; therefore improving the ability to target more to clients. The case requires the students to evaluate the strategic, valuation, and financial issues in considering the acquisition of the existing business. In order to do so, students are required to analyze the financial information provided, both historical and forecasted, as well as analyzing key internal operations issues that may impact the future success of the business. This case is suitable for use in upper‐level undergraduate business strategy courses and accounting courses, as well as in master‐level accounting courses. Assessment rubrics and teaching notes accompany the case for use by instructors.
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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.004 | 0.009 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.178 | 0.063 |
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".