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Record W1764780671 · doi:10.26443/fo.v13i.257

A Brief History of MUNASA: McGill Non-Academic Staff Association

2013· article· en· W1764780671 on OpenAlexfundvenueaboutno aff
Gordon Burr

Bibliographic record

VenueFontanus · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
FundersMcGill University
KeywordsHumanitiesPolitical scienceSociologyArt

Abstract

fetched live from OpenAlex

MUNASA is a voluntary organization created to represent all McGill University non-academic staff in 1972. After gaining recognition from the University it negotiated many major policies for McGill employees including Summer Friday vacations and greater rights for causal employees. When many McGill employees (clerical, library assistants and technical staff) decided to form a union, MUNASA reconstituted itself in 1995 as a voluntary organization for management staff. This paper began as a talk to commemorate the 4Oth Anniversary of MUNASA on June 12th 2012 at the meeting of CACPUQ held at the Macdonald Campus of McGill University.ResuméCréé en 1972, MUNASA est une organisation bénévole, non affiliée et non syndiquée qui représente les gestionnaires, les techniciens et le personnel de bureau et les employés des bibliothèques de l’Université McGill. Après avoir acquis la reconnaissance de l’Université, MUNASA a réussi à négocier des politiques pour les employés et le personnel non enseignant incluant la politique d’obtention de congés les vendredis matin pendant l’été au lieu d’avoir une augmentation salariale ainsi que la nouvelle politique pour les droits du personnel temporaire. En 1995, la création du syndicat MUNACA a eu pour conséquence la perte des employés de bureau, des techniciens et des employés de la bibliothèque au sein de MUNASA. La seule catégorie d’employé restante était celle de la gestion. MUNASA a réussi à garder son rôle en s’affirmant lors des discussions avec l’Université sur les politiques concernant les gestionnaires. Ce document est un discours qui fut présenté le 12 juin 2012 lors de la réunion du CACPUQ au campus Macdonald de l’Université McGill pour la célébration du 40e anniversaire de MUNASA.

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)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.192
Threshold uncertainty score0.383

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0080.002
Scholarly communication0.0070.003
Open science0.0020.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.1020.020

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 head0.023
GPT teacher head0.271
Teacher spread0.248 · 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
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".

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Citations0
Published2013
Admission routes3
Has abstractyes

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