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Record W2434085925

The Employment Relationship: Current Research Avenues

2016· article· en· W2434085925 on OpenAlexaff
Kathleen Bentein, Sylvie Guerrero

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsPerspective (graphical)Work (physics)Social relationshipUnemploymentSociologyPsychologySocial psychologyEconomicsComputer scienceEngineeringEconomic growth
DOInot available

Abstract

fetched live from OpenAlex

This introduction presents the five articles selected for this special issue. First, it illustrates how each contribution relates to the social exchange theory, on which this entire special issue is based. The contributions of the five articles are highlighted and their main results are compared with those of previous work conducted on social exchange. The second part of the introduction presents various research perspectives on the employment relationship. The authors recommend avenues for contingent jobs, for a study of the employment relationship from a temporal perspective, and a multi-foci and multi-level approach of the employment relationship. They also recommend the use of longitudinal and quantitative research methods. This special issue of the Relations Industrielles/Industrial Relations Journal is aimed at providing research avenues on several current issues surrounding the employment relationship. The employment relationship can be tackled either from an individual or from a more general perspective (labour market, manpower management, etc.), with each perspective allowing a complementary study of the employment relationship (Coyle-Shapiro et al., 2005). The call for papers strongly favoured the individual perspective of the employment relationship. It defined the employment relationship as the relationship an employee or an individual builds with his organization, its representatives and its members. In this context, studying the employment relationship provides answers to a variety of research – BENTEIN, K., professor, co-chair of the Chaire de gestion des compétences, École des

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.696
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.203
GPT teacher head0.453
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2016
Admission routes1
Has abstractyes

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