Study on the Essences of the Identification of Core Competence
Bibliographic record
Abstract
Based on discussion the charactericistic of core competence, the classifications and limitations of identification used in our country or abroad of core competence are pointed out. It is presented that the essence of the identification of core competence is the mining of core competence in this paper.. Key words: core competence, identification, mining Resume Sur la base de la discussion sur les caracteristiques de la competence fondamentale de l’entreprise, l’auteur signale les classifications et les imperfections du jugement de la competence fondamentale de l’entrprise tant a l’interieur qu’a l’exterieur du pays. L’etude montre que l’essence du jugement de la competence fondamentale de l’entreprise consiste a la mettre en valeur. Mots-cles: la competence fondamentale de l’entreprise , le jugement , mettre en valeur 摘 要 在討論企業核心能力特徵的基礎上，指出了目前國內外企業核心能力識別的分類及其缺陷。研究認 為企業核心能力識別的本質是企業核心能力挖掘。 關鍵詞：企業核心能力；識別；挖掘
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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 | 0.012 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".