MétaCan
Menu
Back to cohort
Record W7017580188

Beat around the bush : the Lumber and Sawmill Workers Union and the new political economy of labour in Northern Ontario, 1936-1988 / by Douglas Thur.

2017· dissertation· en· W7017580188 on OpenAlexaboutno aff

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2017
Typedissertation
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionGestational periodTSG101LiquationDysgeusiaDiafiltrationTriacetinEmperipolesisHemopericardium
DOInot available

Abstract

fetched live from OpenAlex

The quality of this microform is heavily dependent upon the quality of Ifie original thesis submitted for microfilming.Every effort has been made to ensure the highest quality of reproduction possible.If pages are missing, contact the university which granted the degree.Some pages may have indistinct print especially if the original pages were typed with a poor typewriter ribbon or if the university sent us an inferior photocopy.Reproduction in full or in part of this microform is governed by the Canadian Copyright Act.R.S.C. 1970.c. (5 30, and subsequent amendments.La qualité de celte microforme dépend grandement de la qualité de la thèse soumise au microfilmage.Nous avons tout fait pour assurer une qualité supérieure de reproduc tion.S'il manque des pages, veuillez communiquer avec l'université qui a conféré le grade.La qualité d'impression de certaines pages peut laisser à désirer, surtout si les pages originales ont été dactylogra phiées à l'aide d'un ruban usé ou si runh/ersHé nous a lait parvenir une photocopie de qualité inférieure.La reproduction, même partielle, de cette microlorme est soumise à la Loi canadienne sur le droit d'auteur, SRC 1970, c.C-30, et ses amendements subséquents.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score0.520

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0110.005
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.001

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 head0.012
GPT teacher head0.225
Teacher spread0.213 · 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
Published2017
Admission routes1
Has abstractno

Explore more

Same venueKnowledge Commons (Lakehead University)Same topicCanadian Identity and HistoryFrench-language works237,207