MANAGEMENT ACCOUNTING GUIDELINE
Bibliographic record
Abstract
No part of this publication may be reproduced, stored in a retrieval system or transmitted, in any form or by any means,without the prior written consent of the publisher or a licence from The Canadian Copyright Licensing Agency (Access Copyright). For an Access Copyright Licence, visit www.accesscopyright.ca or call toll free to 1-800-893-5777. ISBN 1-55302-193-2 NOTICE TO READERS The material contained in the Management Accounting Guideline Using Strategy Maps to Drive Performance is designed to provide illustrative information with respect to the subject matter covered. It does not establish standards or preferred practices.This material has not been considered or acted upon by any senior or technical committees or the board of directors of either the
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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 | 0.020 | 0.089 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.010 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.020 | 0.008 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.011 | 0.004 |
| Insufficient payload (model declined to judge) | 0.114 | 0.100 |
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".