The impact of human resources practices on IT personnel commitment, citizenship behaviors, and turnover intentions
Bibliographic record
Abstract
CIRANOLe CIRANO est un organisme sans but lucratif constitue en vertu de la Loi des compagnies du Quebec. Lefinancement de son infrastructure et de ses activites de recherche provient des cotisations de ses organisations-membres, d’une subvention d’infrastructure du ministere de la Recherche, de la Science et de la Technologie, dememe que des subventions et mandats obtenus par ses equipes de recherche.CIRANO is a private non-profit organization incorporated under the Quebec Companies Act. Its infrastructure andresearch activities are funded through fees paid by member organizations, an infrastructure grant from theMinistere de la Recherche, de la Science et de la Technologie, and grants and research mandates obtained by itsresearch teams.Les organisations-partenaires / The Partner Organizations•Ecole des Hautes Etudes Commerciales•Ecole Polytechnique•Universite Concordia•Universite de Montreal•Universite du Quebec a Montreal•Universite Laval•Universite McGill•MEQ•MRST•Alcan Aluminium Ltee•AXA Canada•Banque Nationale du Canada•Banque Royale du Canada•Bell Quebec•Bombardier•Bourse de Montreal•Developpement des ressources humaines Canada (DRHC)•Federation des caisses populaires Desjardins de Montreal et de l’Ouest-du-Quebec•Hydro-Quebec•Imasco•Industrie Canada•Pratt & Whitney Canada Inc.•Raymond Chabot Grant Thornton•Ville de Montreal© 2000 Guy Pare et Michel Tremblay. Tous droits reserves. All rights reserved.Reproduction partielle permise avec citation du document source, incluant la notice ©.Short sections may be quoted without explicit permission, provided that full credit, including © notice, is given tothe source.ISSN 1198-8177Ce document est publie dans l’intention de rendre accessibles les resultats preliminairesde la recherche effectuee au CIRANO, afin de susciter des echanges et des suggestions.Les idees et les opinions emises sont sous l’unique responsabilite des auteurs, et nerepresentent pas necessairement les positions du CIRANO ou de ses partenaires.This paper presents preliminary research carried out at CIRANO and aims atencouraging discussion and comment. The observations and viewpoints expressed are thesole responsibility of the authors. They do not necessarily represent positions of CIRANOor its partners.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".