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Record W2105431404

Ethics in Collective Negotiations: The Perceptions of Union Counsellors in Quebec

2003· article· en· W2105431404 on OpenAlexaffabout
Josée Lapointe, Claudette Ross, Ginette Legault

Bibliographic record

VenueSSRN Electronic Journal · 2003
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsNegotiationSubject (documents)Political sciencePopulationRelevance (law)Empirical researchPrincipal (computer security)Exploratory researchPublic relationsSociologyLawEpistemologySocial science
DOInot available

Abstract

fetched live from OpenAlex

A number of authors (Adler and Bigoness 1992; Hebert 1992; Lewicki et al. 1994) have already underscored the relevance of and the need for ethical thinking in collective negotiations, yet this is a subject that has been virtually ignored by the specialist literature. Indeed, a study by Leahy (2001) uncovered less than ten papers written in the last twenty years whose principal subject was the ethical aspect of collective negotiations. Even if the search criteria are extended to include all organizational negotiations, the number of publications is still relatively low.This article takes an exploratory approach and attempts to draw up a basic profile of the ethical rules applicable to collective negotiations in Quebec. It begins by describing the Quebec regulations applicable to ethics in collective negotiations, and goes on to present a survey of past research on the subject, showing that most authors have tended to present ways of negotiating “ethically” (among other things by applying an interest-based negotiation method) or criticisms of certain negotiation tactics (including bluffing), based on either a legal or an ethical standpoint. However, the studies taking the latter standpoint reached different conclusions, in that a given tactic was considered ethical in some cases and unethical in others. Very few of the studies were based on empirical research, and of the handful of empirical studies that were carried out, almost all involved a student population. None involved collective agreement practitioners.The research presented in this article attempts to fill this gap in the specialist literature by gathering the views of front-line players in the collective negotiation process. It compiles all the implicitly expected or implicitly unacceptable behaviours mentioned in interviews with twenty people (ten men and ten women) working as spokespeople in one of Quebec’s largest trade union organizations. The rules of ethics were compiled by reviewing each of the subsystems underlying the collective negotiation process identified by Walton, Cutcher-Gershenfeld and McKersie (1994), namely negotiation of the distributive and integrative content, structuring of inter-group attitudes, and management of internal differences. In addition to a list of the rules of ethics mentioned by research subjects, the compilation also includes a statement of each rule, together with verbatim examples from the interviews.The results of the literature survey show that certain aspects of collective negotiation, such as the management of internal differences, have been neglected by researchers. The limitations of the literature on the subject of rules of ethics are also clear. The list proposed in this article comprises no less than 42 rules of ethics, including keeping one’s word and honesty in negotiations (i.e., no lying or presenting untrue or dishonest documents or facts). In addition, practitioners appear to expect a certain level of professionalism during the collective negotiation process. Interestingly, none of the people questioned felt that bluffing was unacceptable, suggesting that this may, in fact, be an implicitly acceptable behaviour. With regard to the relationship between the parties, the most frequently cited rules were listening to the other party and its representatives, respect for the other party and its representatives, decorum, use of appropriate vocabulary, and refraining from personal attacks and angry exchanges. With regard to relations with principals, the rules of ethics mentioned most frequently were professionalism in dealings with the committee and the people being represented, compliance with and enforcement of the rules governing the right to speak during the distributive phase of the negotiation, and the importance of representing all principals.In addition, the results show that ethics in collective negotiations go beyond the legal obligations imposed by Quebec, and beyond an interest-based negotiation method.The article then discusses some of the limitations of the research, including its exploratory nature, the size of the sample and its use of spokespeople from the same party, and goes on to describe its contributions. From a scientific standpoint, although the research cannot claim to present an exact profile of the ethical role of collective negotiators, it is, to the authors’ knowledge, the first study to employ a descriptive analysis approach in the field of collective or organizational negotiation ethics. In addition, it is centered on a sample of collective negotiation practitioners, unlike most previous work on the subject, which has tended to derive from university or laboratory studies involving students. From a more practical standpoint, our preliminary list of the rules of ethics for collective negotiations clearly illustrates the ethical expectations of practitioners, thus contributing to raising general awareness.The article ends by pointing out that practitioners do not all share the same view of ethics in collective negotiations, and the article then proposes a number of avenues for future research that would lead to a deeper understanding of the topic.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.339

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0240.006
Scholarly communication0.0070.002
Open science0.0020.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0070.000

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.

Opus teacher head0.066
GPT teacher head0.448
Teacher spread0.383 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2003
Admission routes2
Has abstractyes

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