Obstacles Existed in the Labor Union’s Endeavors to Protect the Employees’ Rights and Some Wayouts
Bibliographic record
Abstract
With deepened economy reformation in China, labor relation becomes more and more complicated, and labor relation conflicts are sharpened increasingly. The interior employees’ rights are encroached frequently and the number of labor conflicts climbs dramatically. However, the impacts of the labor union, with protecting employees’ rights as its basic function, are far from meeting the employees’ satisfaction. This article analyses the labor union’s functions and its right-protection measures. The existing problems are discussed and some countermeasures are put forward. Key Words: Labor Union, Function, Obstacle, Countermeasure Resume A cause de la contradiction de la relation de travail de plus en plus intense, les droits et les interets legals des ouvriers et employes tenant le bas du pave sont a maintes reprises violes et les litiges de travail montent en fleche. Cependant, le role reel que joue le syndicat dont la fonction fondamentale consiste a sauvegarder les droits et les interers des ouvriers et employes est loin de repondre a leurs demandes. L’auteur analyse dans cet article les fonctions et les moyens de sauvegarde des droits du syndicat, examine les problemes existants dans ce domaine et propose des contre‐mesures. Mots-cles: le syndicat ,la fonction, les obstacles, les contre‐mesures 摘 要 由於勞動關係矛盾日益尖銳，處於弱者地位的職工合法權益屢遭侵犯，勞動爭議急劇上升。但以維護職工合法權益爲其基本職責的工會所發揮的實際作用卻遠不能滿足職工的要求。本文分析了工會的職能和維權手段，探討了工會在維權方面所存在的問題，提出了相應的對策。 關鍵詞： 工會；職能；障礙；對策
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".