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Record W4313596302 · doi:10.1002/cjas.1706

Tales from the Other Side: An Exploratory Study of the Effects of Third‐party Enforced Psychological Contract Breach Risk on Breachers and their Relationships During a Work‐to‐rule Teacher Strike

2023· article· en· W4313596302 on OpenAlexaffvenueabout
James Michaud, Gabor Somogyvari

Bibliographic record

VenueCanadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicWorkplace Violence and Bullying
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPsychological contractWork (physics)Exploratory researchBreach of contractPerspective (graphical)PsychologyData breachPublic relationsGreat RiftSocial psychologyBusinessPolitical scienceLawSociologyDamagesComputer securityEngineeringComputer science

Abstract

fetched live from OpenAlex

Abstract Little research has been done on psychological contract breach situations from the perspective of the breacher, including situations in which potential breach actions were enforced by a third‐party. This exploratory study aims to see how enforced breach affects the breacher, their reactions to the situation, and their relationships with community stakeholders. Semi‐structured long‐form interviews with Canadian teachers whose union decided to go on a work‐to‐rule strike, risking relational breaches with school community stakeholders, were undertaken. Teachers experienced negative emotions and engaged in breach mitigating actions. Implications include being aware of the negative effects on unwilling breachers and the relationships with the source of breaches, and the possibility of mitigating breaches while still removing obligations if breachers engage in mitigating actions.

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)0.005
metaresearch head score (Gemma)0.015
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 score0.042
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.015
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0170.009
Scholarly communication0.0050.002
Open science0.0010.006
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.123
GPT teacher head0.350
Teacher spread0.227 · 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
Published2023
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l AdministrationSame topicWorkplace Violence and BullyingFrench-language works237,207