ACCT 306-01 Financial Reporting & Analysis II
Bibliographic record
Abstract
ThinkingLearning Goal: WCB graduates will be able to think logically, reason quantitatively, and utilize appropriate analytical techniques and technology when evaluating and making decisions.Corresponding Objective: WCB students will collect, evaluate and synthesize information to offer solutions and support decision making. Effective Written and Oral CommunicationLearning Goal: WCB graduates will be able to organize, support and communicate ideas clearly and effectively, employ multiple mediums of communication (e.g., written, oral and visual), and adapt communication to audience, context or purpose.Corresponding Objective: WCB students will produce business documents and reports demonstrating their ability to organize and communicate ideas clearly and professionally. Understanding and Application of Knowledge across Business DisciplinesLearning Goal: WCB graduates will be able to evaluate business from an integrative and holistic point of view, leverage the synergies between functional business areas, and demonstrate college-level mastery of their chosen discipline.Corresponding Objective: WCB students will demonstrate the appropriate knowledge of accounting, economics, finance, management, management information systems, marketing, quantitative business analytics, international issues, and the legal and social environment of business.
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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 | 0.009 | 0.038 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.010 | 0.007 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.471 | 0.571 |
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".