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Record W2111403729 · doi:10.26686/lew.v0i0.1716

When Conduct is Deemed to Occur in the Workplace and the Liability of Employers for the Sexual Harassment of one Co-Worker by Another

2010· article· en· W2111403729 on OpenAlexaboutno aff
Peter McLuskie

Bibliographic record

VenueLabour Employment and Work in New Zealand · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHarassmentAppealLiabilityHuman rightsTribunalVicarious liabilityDismissalLawLegislationPolitical scienceConsistency (knowledge bases)Employment discriminationLabour lawIndustrial relationsBusinessSociologyTort

Abstract

fetched live from OpenAlex

This paper analyses the different approaches of the Employment Relations Act 2000 and the Human Rights Act 1993 as to whether sexual harassment of one co­worker by another occurs as a part of the employment relationship. It examines the Court of Appeal and the Human Rights Review Tribunal regarding the liability of the same person (Smith) for sexual harassment. The Court of Appeal upheld Smith’s dismissal as it impacted on his employment relationship, while the Human Rights Review Tribunal held Smith’s behaviour was not in the in the course of his involvement in employment. Reasons for the difference between the two decisions are examined, looking in particular at employer liability for the actions of co­workers, and the different ways the two Acts deal with such liability. Canadian and Australian approaches to employer liability are examined, noting consistency between the approaches in their human rights and employment legislation. It is suggested that inconsistencies between the Employment Relations Act and the Human Rights may lead to different outcomes regarding employer liability. Finally it is suggested that, given the differences between the two Acts, it would be better for matters of sexual harassment to only be dealt with under the Human Rights Act.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.492
Threshold uncertainty score0.852

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.342
Teacher spread0.301 · 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 designObservational
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
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueLabour Employment and Work in New ZealandSame topicSexual Assault and Victimization StudiesFrench-language works237,207