Bibliographic record
Abstract
Aborigines, 451, 455, 457À460, 465 AC.See Air Canada (AC) ACA.See Aviation Corporation of America (ACA) Acker and discourse of family, 340 creating and conceptualizing social structures, 342 gendering cultures, 341 interactions, 341À342 practices/structures, 340À341 internal gender constructions, 342 Acker's conceptualization of gendered substructure, 306À307 Acker's framework, improving on, 363À364 Acker's gendered substructure, re-focusing, 345À346 Acker through looking glass, 331 Acker's gendering processes, 332À333 building on Acker, 333À337 gendering cultures, 346À349 practices/policies/structures, 346 making sense of data, 337 Acker and discourse of family, 340À342 dominant discourse in (1950s), 339À340 Pan Am in (1980s), 343À345 Acker's gendering processes, 332À333 Actants, 95, 157, 161, 163, 166 material, 172 nonhuman, 171 nonmaterial, 158 past as, 160 Activity system, 67 Blackler and organizations as, 66À69 Actor networks interest-driven socio-politics of, 185 as materially heterogeneous, 185 socio-politics of, 183, 184 Actor-network theorists, 161 Actor-network theory (ANT), 158, 162À163, 177 Air Canada, 161À162 feminism and, 159À161 history and organizational culture at Air Canada, 164À168 and intersection with feminism, 168À173 primer on, 162À164 problem of long-term change, 158À159 Administrative Sciences Quarterly (ASQ), 5, 6 Aerodromes, 103, 452 AFA.See Association of Flight Attendants (AFA) AFC.See Australian Flying Corp (AFC) Africanization of West African Airways, 390 AIDS, 257 Air Canada (AC), 93, 113, 122, 132, 137À138, 142, 147, 158, 160, 161À162, 170, 194, 267, 289À290, 474 "authoritative" histories, 165 corporate responses, 136 documents, 12 early years of, 290À291 masculinity story, 163 newsletters, 134 role of women in, 138 Air force(s), 199, 386 bases, 41 flyers, 198 flying, 261 pilots, 87 policy, 198 ranks, 245 role of, 241 wartime, 251 Air France, 200, 245 Air Steward, 196, 201, 248 Air Transport Auxiliary (ATA), 198, 293, 376 Air Union, 196, 199 Air-mindedness, 201 Airborne "stewards", 41 Aircraft Transport and Travel Ltd. (AT&T), 40, 372 Airline industry, organizational imagery in, 369À370 Airline(s), 126, 228À229, 268, 397À398 beauty contests, 231 business, 76, 124, 194, 204, 227, 255, 294, 414 and employment of people of color, 380À381, 382 and gendering of organizations "gendered processes" framework, 193 passenger activity and service provision strategies and recruitment, 195À206 sexuality and strategy, 206À207 theoretical framework, 194À195 growth, 217 industry, 47, 205, 206 in Britain, 210À211 British, 209 construction of sexuality in, 205 gender and micropolitics of resistance in Canadian, 121À129 organizational imagery in, 369À370 in United Kingdom, 107 management, 141 steward, 64, 336 stewardess, 233 strategy, 242, 248À249 "Alienation" study, 16, 18 All-male flight crew, 196 emergent and deliberate strategies, 196À198 symbolism and strategy, 198À199 Alternative histories construction, 80 Americanism, 397, 398, 407, 427À428, 432, 440 ANT.See Actor-network theory (ANT) Anti-glamour policy, 221, 224 ANTi-History, 176,178À180, 187À188, 476À477 and Feminist, 180À182 knowledge of the past, 183 mapping in conversation with feminist scholarship, 182 articulation, 187 epistemological categories, 187 methodology, 183À189 "naturalcultural" categories, 184 punctuated actor-network, 189 punctuated history, 186 relational approach to constitution of social past, 187 voice of actors, 185 See also "History" Anticategorial complexity approach, 418À419 Applied implications, 155, 327À328 "Archival records", accessibility of, 96 Archival research, 396À397 and case study strategies, 96À97 Archives, 100À104 working with, 100À102 Archives, 94, 96, 100À104 working with, 102À104 Argentine division, 405, 407 Articulation, 185, 187, 188, 346 Artifacts, 8, 96, 121À122, 171, 346, 368, 445 archaic, 239 cultural, 95, 98, 133, 135À136, 319 physical, 50, 67 ASQ.See Administrative Sciences Quarterly (ASQ) Association of Flight Attendants (AFA), 254 AT&T.See Aircraft Transport and Travel Ltd. (AT&T) ATA.See Air Transport Auxiliary (ATA) Austere atmosphere, 221À222 Austerity, 83, 225, 227, 253 Australian Flying Corp (AFC), 452 "Australian pioneering stock", 455 Aviation business environment in United States, 294 Aviation Corporation of America (ACA), 403À404 Bush piloting, 297 airline's bush piloting heritage, 298À299 economics and social context of bush piloting, 297 TCA, 299À300 Women and Aviation in Canada, 300À301 Business history, 75, 447 Business Process Reengineering (BPR), 59, 78 Business research methods, 95 "Cabin boys", 41, 197, 200, 248, 276, 473 Canadian Airlines (CA), 267, 271 Air Canada's acquisition of, 165 blue uniforms of, 166 micropolitics of resistance in, 121À129 Canadian aviation, 297 Bush piloting in Canada, 297 TCA, 299À300 Winnipeg operation of Western Canada Airways, 298 Women and Aviation in Canada, 300À301 Canadian National Railroad (CNR), 161À162, 275, 291 Canadian Pacific Railway (CPR), 292 Canadian Royal Commission on Equity in Employment, 288 Canal Zone Sub Division, 405 Caribbean Division, 405 Categorical approach.See Intersectional complexity approach CDA.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.011 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.013 | 0.010 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.733 | 0.728 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".