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Record W1514041853 · doi:10.1108/02610150710726543

Reaching new heights

2007· article· en· W1514041853 on OpenAlexaboutno aff
Eddy S. Ng

Bibliographic record

VenueEqual Opportunities International · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOriginalityHarassmentDiversity (politics)Empirical researchSociologyFace (sociological concept)Value (mathematics)Qualitative researchPsychologySocial scienceSocial psychologyComputer scienceEpistemologyAnthropology

Abstract

fetched live from OpenAlex

Purpose The purpose of this report is to highlight findings from research presented at the 2006 Administrative Sciences Association of Canada conference in Banff, Alberta. Design/methodology Ten papers, of interest to Equal Opportunities International readers, were selected from the proceedings and presentations made at the conference for this report. The papers themselves vary in terms of research design and methodology. There was a mix of conceptual/review papers and empirical studies, using both quantitative and qualitative methods. Findings Findings from the empirical studies showed that women and minorities continue to face barriers in employment and the workplace. Women continue to experience gender role stereotypes detrimental to their careers, while minorities face both discrimination and harassment at work. Originality/value Each of the papers selected demonstrated new insights, both conceptually and empirically, and contributes to the literature on diversity.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.213
Threshold uncertainty score0.712

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.005
Scholarly communication0.0110.006
Open science0.0020.011
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.2130.047

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 head0.089
GPT teacher head0.267
Teacher spread0.178 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2007
Admission routes1
Has abstractyes

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